Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

ICF is seeking a highly capable HR Data Engineer / Data Scientist to support a large federal client in modernizing its enterprise learning and workforce data ecosystem. This role centers on designing and sustaining a scalable data integration capability that unifies multiple workforce-related data sources into a consistent, validated structure suitable for downstream HR and training systems. This position requires expertise in enterprise data engineering, workflow automation, data quality frameworks, metadata governance, and the translation of complex business rules into reliable technical logic. The ideal candidate brings experience working with HR, identity, or workforce-related datasets in large organizations and can partner directly with senior stakeholders across technical and business domains. Prior experience working in federally-regulated environments and proximity to the DC-Maryland-Virginia (DMV) area with the ability to go onsite as needed is strongly preferred. Key Responsibilities Design, build, and maintain automated pipelines that unify multiple HR and workforce‑related datasets into standardized, validated outputs. Develop and document transformation rules, business logic, mapping structures, and data quality checks to ensure accuracy and consistency. Create scalable workflows for ingesting structured and semi‑structured data from diverse systems with varying formats and update cycles. Implement validation routines, anomaly detection, and error‑handling mechanisms to maintain reliable, high‑quality data products. Produce well‑structured, standardized outputs compatible with enterprise learning or workforce management platforms. Collaborate with technical and non‑technical stakeholders to refine requirements, resolve data ambiguities, and support decision‑making. Maintain alignment with enterprise‑wide data standards, schemas, and governance guidance as they evolve. Participate in cross‑team or cross‑agency coordination forums to represent program needs and communicate the impact of data‑related decisions. Develop and execute test plans, including business‑rule validation, regression checks, and iterative QA cycles. Identify process improvements, integration gaps, and opportunities to enhance automation, scalability, and sustainability. Ensure solutions continue functioning amid changes to enterprise systems, dependencies, or data availability. Prepare and deliver technical documentation, operational procedures, and knowledge‑transfer materials for long‑term maintainability. Communicate risks, dependencies, and technical impacts clearly and proactively to project managers, leadership, and governance groups. Basic Qualifications Bachelor's degree in a related field (e.g., Data Science, Computer Science, Engineering, Mathematics, Information Systems, HR Analytics, or similar). 8+ years of professional experience in data engineering, data science, analytics, or a closely related field. Additional Qualifications Extensive experience sourcing, integrating, transforming, and validating structured and unstructured data from diverse systems (e.g., developing Spark jobs, performing data manipulation with PySpark/pandas, and authoring robust, production‑grade SQL transformations). Proven ability to design and implement automated data workflows, integration pipelines, and large‑scale transformation logic (e.g., orchestrating pipelines using Apache Airflow, Azure Data Factory (ADF), or AWS Glue). Hands-on experience developing predictive models, statistical analyses, or machine learning solutions (e.g., building and validating models in Python using PySpark ML, pandas, or related libraries). Strong understanding of data quality management, validation frameworks, error‑handling approaches, data governance, master data management, and enterprise metadata practices (e.g., MDM survivorship rules, identity resolution logic, validation utilizing Great Expectations). Demonstrated ability to facilitate requirements gathering, define business rules, and translate stakeholder needs into clear technical specifications (e.g., documenting required import fields and formats, converting business logic into ETL/ELT transformations). Excellent communication skills with the ability to clearly convey complex technical concepts to non‑technical or cross‑functional audiences (e.g., explaining data lineage, logging, and metrics practices used to ensure pipeline traceability). Exceptional documentation abilities and attention to detail (e.g., version-controlled artifacts in Git, CI/CD deployment documentation, and test suites using pytest and Great Expectations). Preferred Qualifications Master's degree preferred. 5+ years of experience supporting large‑scale or complex data ecosystems, preferably in government, healthcare, or highly regulated domains. Experience supporting HR import processes for enterprise systems (e.g., HRIS, LMS, identity systems). Background working with federal clients or within environments that require strict attention to data standards, compliance, and documentation. Working at ICF ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $131,256.00 - $223,134.00 Nationwide Remote Office (US99)

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what's possible with LPL Financial. Job Overview: This role bridges business strategy, data governance, and technology delivery, ensuring our advisor platform has accurate, governed, and high-quality participant and party data across systems. The ideal candidate combines product ownership expertise, data governance acumen, and technical literacy, enabling them to translate business needs into scalable, governed data solutions that power client and advisor experiences. Responsibilities: Own the vision, strategy, and roadmap for Participant/Party SOR capabilities and integrations across the advisor platform. Collaborate with business, data, and technology stakeholders to ensure alignment on goals, requirements, and governance principles. Serve as liaison to Commonwealth and future M&A integration teams for metadata documentation, data quality, and lineage validation. Write and manage epics, stories, and acceptance criteria in Jira, ensuring traceability between business and technical requirements. Define and maintain data governance standards, including quality rules, scorecards, and SOR documentation in Confluence. Oversee data profiling, lineage analysis, and validation to ensure integrity across source and target systems. Lead and mentor team members in agile practices, sprint planning, and continuous improvement. Monitor and communicate project progress, risks, and dependencies, driving resolution and stakeholder transparency. Advocate for customer-centric, data-driven decision-making and continuous improvement of data quality and usability. Requirements: Bachelor's degree in related field (advanced degree preferred). Minimum of 7 years in data-centric product ownership, data management, or governance roles within financial services or fintech. Minimum of 5 plus year experience with SQL, data modeling (star/snowflake), and data governance tools. Minimum of 5 plus years experience translating complex data concepts into business value and vice versa. Preferred Skills: Experience with AWS, Snowflake, and data pipeline transformations. Background in wealth management or financial advisory services. Familiarity with API-based & Kafka integrations, and CRM data flows. Proficiency in Tableau, Power BI or other visualization tools. Proven ability to mentor team members and drive a culture of collaboration and governance excellence. Core Competencies Deep understanding of CRM party data architecture, data integration, and systems of record (SOR). Hands-on experience in agile delivery, Jira, and Confluence. Strong analytical, communication, and stakeholder management skills. Experience in Product Ownership, Analytical Thinking & Problem Solving, Communication & Leadership, and a Continuous Improvement Mindset Technical Acumen (SQL, Data Models, APIs) Pay Range: $106,088-$176,813/year Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer! Company Overview: LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. For further information about LPL, please visit www.lpl.com. Join LPL Financial: Where Your Potential Meets Opportunity At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services. Why LPL? Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here! Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here! Unified Mission: We are one team on one mission-taking care of our advisors so they can take care of their clients. Learn more about our mission and values here! Impactful Work: Our size is just right for you to make a real impact. Learn more here! Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here! Community Focus: We care for our communities and encourage our employees to do the same. Learn more here! Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here! Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE. Information on Interviews: LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947. EAC12.9.25

Job Title Canoo Data Platform- Data Engineer About Canoo Canoo's mission is to bring EVs to Everyone and build a world-class team to deploy this sustainable mobility revolution. We have developed breakthrough electric vehicles that are reinventing the automotive landscape with pioneering technologies, award-winning designs, and a unique business model that spans all owners in the full lifecycle of the vehicle. Canoo is starting production and is distinguished by its pioneering and experienced team of technologists, engineers, and designers. With offices around the country, the company is scaling quickly and seeking candidates who love to challenge themselves, are motivated by purpose, and possess a strong desire to get things done. The "Canoo Way" Canoo's success is the direct result of our disciplined application of our core operating principles and drills, which are based on three main principles: Think 80/20 ("Important versus less important"), Act 30/30 ("Reduce waste and increase output"), and Live 90/10 ("We have each other's back"). We hire based on "MET"- Mindset, Equipment and willingness to Train - and seek individuals that take accountability and deliver results being Humble, Hungry to succeed, and Hunting for opportunities to win. We train our team to engage with each other by modulating between their intellect (iQ) and emotional intelligence (eQ) applying Facts, Finesse, and Force when they communicate. The principles and drills of the CANOO Way have been fundamental to our success, our ability to grow, continuously improve, innovate and are at the core of our day-to-day operations. Job Purpose As a Data Engineer, you will be responsible for developing and maintaining highly scalable data pipelines that enable data transformation and load between internal systems, IoT devices (electric vehicles), external backend systems, and frontend user interfaces. You will design and implement data streams ensuring data quality, data integrity, security, and high performance. Additionally, you will collaborate with cross-functional teams to continually integrate all company systems. Responsibilities (80s of the Position) Work with stakeholders to gather data and reporting requirements, to build dashboards and data flows. Create infrastructure-as-code, deployment pipelines, developer tools, and other automations. Understand product requirements, engage with team members and customers to define solutions, and estimate the scope of work required. Deliver solutions that can keep up with a rapidly evolving product in a timely fashion. Required Experience Google Cloud Platform (GCP), GCS, BigQuery Expertise with one or more back-end languages such as Python, Go, TypeScript, JavaScript, etc. SQL expertise- DBT experience a plus. Experience with cloud services like GCP, AWS or Azure. Kafka Dashboarding and Reporting- Superset, Looker Git- BitBucket/Gitlab *Kubernetes- Mid-Level Experience Preferred Experience Python Python dependency management and custom packages Expertise with Google Cloud Platform (GCP) Data Warehousing - partitioning, segmentation Internet of Things (IoT) and MQTT Docker Terraform - experience a plus CI/CD tooling- Jenkins/git-ci Understanding of automotive and embedded software systems Travel Requirements Onsite presence in the office, this is not a remote or hybrid role. Travel may be required on an occasional basis for events such as team meetings or working with manufacturers or subject-matter experts on particular tasks ( Physical Requirements for Non-Physical Positions While performing the duties of this job, employees may be required to sit for prolonged periods of time, occasionally bending or stooping, lifting up to 10 pounds, and prolonged periods of computer use. Reasonable Accommodations Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position. What's Cool About Working Here... Meaningful, challenging work that will redefine automotive landscape and make EVs available to everyone Comprehensive Health Insurance Equity Compensation Flexible Paid Time Off Casual workplace with an unbelievable feeling of energy Canoo is an equal opportunity-affirmative action employer and considers all qualified applicants for employment based on business needs, job requirements and individual qualifications, without regard to race, color, religion, sex, age, disability, sexual orientation, gender identity or expression, marital status, past or present military service or any other status protected by the laws or regulations in the locations where we operate. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Any unsolicited resumes or candidate profiles submitted in response to our job posting shall be considered the property of Canoo Inc. and its subsidiaries and are not subject to payment of referral or placement fees if any such candidate is later hired by Canoo unless you have a signed written agreement in place with us which covers the applicable job posting. Canoo maintains compliance with the OFCCP. As such, please feel free to review the following information: https://www.dol.gov/agencies/ofccp/posters https://www.dol.gov/agencies/olms/poster/labor-rights-federal-contractors If you are a person with a disability needing assistance with the application process, please call (214) 529-8055 or email us at TalentAcquisition@canoo.com Equal Employment Opportunity Posters Equal Employment Opportunity Posters | U.S. Department of Labor (dol.gov)

Job Family: Database Administration (Digital) Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: We are searching for Lead Data Engineer, Health Data Platforms to support future opportunities. The person filling this role will build, scale, and maintain national-scale data pipelines, integrations, and storage solutions that power laboratory, research, and healthcare operations. They will lead the modernization and harmonization of diverse clinical data, ensuring interoperability, data quality, and compliance across platforms. This position will be based in Bethesda, MD. Architect and modernize robust, disease-agnostic data acquisition and ingestion pipelines for large-scale, heterogeneous healthcare data (e.g., EHRs, claims, registries, geospatial data). Design, implement, and maintain ETL/ELT pipelines across cloud platforms (AWS, Azure, GCP). Design and maintain scalable, reliable, and flexible applications using TypeScript, NodeJS, Angular, and RESTful web services to support data workflows. Integrate data sources including ELN, LIMS, sample tracking software, web-based portals, and REST APIs. Maintain and enhance data harmonization pipelines such as OMOP, improve interoperability among data models including OMOP, PCORNet, and FHIR, and ensure consistency and alignment for critical data types to support master data integration and harmonization. Implement and manage data storage solutions (data lakes, warehouses) utilizing the appropriate partitioning, security, and lifecycle policies. Champion data quality and governance standards through the development of sophisticated data quality frameworks, dashboards, and feedback loops to ensure transparency in data completeness, consistency, and quality for partners and researchers. Optimize pipeline performance, reliability, and cost by establishing monitoring and alerting functions. Innovate with advanced technologies: integrate new data sources (e.g., national mortality data, CMS), link datasets, and build processes for novel data types (geospatial, environmental). Collaborate with informatics, bioinformatics, and platform teams to define data models and SLAs. Provide technical leadership and mentorship Translate scientific needs into technical solutions in an agile, mission-focused environment. Implement CI/CD for data workflows and infrastructure-as-code (e.g., Terraform, ARM, CloudFormation). Document data architectures, lineage, and standards. What You Will Need: Bachelor's degree in Computer Science, Engineering, Data Engineering, Bioinformatics, or related field. A minimum of EIGHT (8) years of hands-on data engineering experience Deep, practical knowledge of healthcare data, common data models (OMOP, FHIR), and clinical terminologies (such as ICD, SNOMED, RxNorm). Solid experience with big data technologies (Apache Spark, Hadoop), containerization (Docker), and reproducible/scalable workflows. Hands-on experience with cloud services and REST API integrations. Strong SQL, Python, and version control (Git) skills. Experience with privacy-preserving record linkage (PPRL), federated data systems, and regulated environments (FISMA, HIPAA). What Would Be Nice To Have: Master's degree is preferred Designing/deploying data solutions on cloud platforms (AWS, GCP, Azure). Proficiency with workflow management systems (Nextflow, Snakemake, Airflow). Experience with regulated environments (GxP, 21 CFR Part 11) and data governance. Proficiency with modern data tools (e.g., Spark/Databricks, Airflow, dbt, Kafka) is a plus. The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Parental Leave 401(k) Retirement Plan Group Term Life and Travel Assistance Voluntary Life and AD&D Insurance Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts Transit and Parking Commuter Benefits Short-Term & Long-Term Disability Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities Employee Referral Program Corporate Sponsored Events & Community Outreach Care.com annual membership Employee Assistance Program Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.) Position may be eligible for a discretionary variable incentive bonus About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Are you ready to work for a more active world? At Bioventus, our business depends on developing our people. We invest in you and challenge you to be the best. We value our colleagues for their different perspectives and individual contributions, and our leaders listen. Our success rests on working together to achieve shared goals and rewards. Join a diverse team of global colleagues driven to help patients resume and enjoy active lives. The Sr. Master Data and Data Quality Manager will lead the global optimization and enhancement of our master data to support the operational business process and internal/external reporting requirements. This role will lead and as required upskill the team of dedicated individuals, who are collectively responsible to maintain high-quality master data. In this role, the Sr. Manager will collaborate with various Bioventus teams (e.g. Customer Service, Finance, IT, Operations, BI and Sales Ops), to understand and meet their data requirements while ensuring an exceptional customer experience. The Sr. Manager will also actively look for opportunities to improve team performance, process efficiency, data quality, data governance and report on the relevant KPIs. What you'll be doing Evaluate existing data sources and processes for improvements, identify, recommend and lead enhancement initiatives, and provide ongoing improvement guidance. Routinely audit master data against established audit rules and support internal and external audit requirements. Architect the Global Data Strategy for SAP Master Data Management (MDM) with a focus on how to utilize data to achieve exceptional growth through data standardization and information management. Responsible for designing and maintaining the governance and quality standards and scorecards to ensure accuracy, completeness, and consistency of the company's master data globally. Create/Review Business Process Procedures and other training documents for the MDM team and keep them updated. Build a long-term master data strategy, to ensure data accuracy and maintain data integrity. Learn and adapt to new systems and processes and help the MDM team to adapt as well through training. Partner with different departments and meet with the department leaders regularly to poll them for their business and transactional requirements. Then translate those requirements into fields and eventually for reporting. Participate in operational and strategic projects for centralized master data rules and governance. Review existing transactional and business processes to establish greater alignment among internal systems, external data, and information from vendor/alliances. Lead cross-functional efforts to implement an improved initial data set-up, existing data cleansing or mass data creation. Manage and optimize change request process to ensure SLAs are met for MDM requests. Ensure security compliance of master data. Works with IT technical teams to architect and implement integrations and controls over MDM data. Other duties as assigned What you'll bring to the table BA/BS in Master Data Management, Systems, Computer Science, Business, Operations Research / Management, Engineering, Data Science, Supply Chain or related degree. 8+ years of experience including at least 5 in Master Data / Data Governance / Data Quality / Data Standards Fundamental knowledge concepts, practices and procedures of data management like Taxonomies, ontologies, hierarchies, Data modeling etc. Knowledge of all Master Data areas of SAP with expert level functional skills. Experienced with Sales and Distribution module in SAP/HANA and Microsoft products (Power BI, Word, PowerPoint, Excel). Excellent Excel skills Experience demonstrating business process and functional areas knowledge. (ex. Manufacturing, Warehouse Management, Order to Cash, Procure to Pay, Record to report, Finance and Controlling, etc.). Experience with Salesforce, Microsoft dynamics, Pricing systems, contract management systems, SQL Server and SQL language is a plus. Demonstrated experience in managing data set up/process including identification and implementation of process improvements. Experience designing & delivering data quality scorecards. Familiarity with data sources and requirements to operate in today's Healthcare environment, health systems, IDNs, GPOs, clinics, physicians, payers, PBMs, etc. Ability to quickly develop an understanding of the current master data environment (including systems, policies, processes, and procedures) Action-oriented and skilled in leading successful change management initiatives Leadership. Ability to coach, manage, and mentor/develop a team of staff to ensure congruence with company values and effective execution of all project deliverables. Excellent written and verbal communication skills Able to write for and work with a wide range of audiences, from executives to line workers Proven organizational, detail orientation and time management skills Are you the top talent we are looking for? Apply now! Hit the "Apply" button to send us your resume and cover letter. Bioventus is committed to fostering an inclusive and diverse community of employees with a strong sense of belonging. We believe we are bettered by all forms of diversity and take pride in working with top talent from every walk of life. In the spirit of inclusivity, qualified applicants will be considered without regard to age, ethnicity, disability, gender, veteran status, gender expression, gender identity, nationality, race, religion or sexual orientation. All individuals, regardless of personal characteristics, are encouraged to apply.

The AVP Data, AI, and Information Architect, Chief Data Office role will work out of our Schaumburg North America HQ in a hybrid schedule. The Data & Analytics department is looking for an expert to drive broader data architecture and solution blueprints to modernize data analytics ecosystem. The Data, AI and Information Architect be the key contributor to the execution of CDO Data & AI strategy for the Data Science, Data Governance, Business Intelligence and Data Engineering teams and will build the architecture, systems and technologies required to have a best-in-class Data & AI ecosystem. This role will work on the modernization of current data landscape to next generation data & AI architecture and processes that support Business Units and Share Service Units. The ideal candidate will have experience building complex cloud native data analytics solutions, large scale data warehouse modernization and architecting, designing solutions for complex AI projects. Responsibilities: Design and build scalable solutions to ingest, store and process very large amounts of data (structured, semi-structured and unstructured), including streaming and real-time into the cloud-based Lakehouse & cloud data warehouse. Take ownership of operationalization of Agentic AI flows while designing solutions to optimize data pipelines, model deployment, and model monitoring Architect blueprints for production grade, scalable end-to-end Data & AI solutions Lead the integration of LLMs, lang chain, lang graphs, agent orchestrators into business processes Build enterprise grade, highly reusable data assets for analytics consumption. Partner with analytics experts, data scientists, and Business Unit analysts to build self-service experiences in our data democratization platform. Innovate different ways of combining data sets from various sources to augment our analytical literacy. Conduct POCs, Pilots on re-usable, scalable data processing, curation, and consumption frameworks to eliminate point solutions. Evaluate, analyze, and optimize system resources related to large scale data processing, image processing, computer vision and deep learning. Work closely with the IT and the cloud infrastructure teams to deliver technical solutions. This includes end to end Agent orchestration, data layering, data/AI governance, metadata. Basic Qualifications: Bachelor's degree in mathematics/Statistics and 7 or more years of experience in the Predictive Analytics area OR Zurich Certified Insurance Apprentice including an Associate Degree in Mathematics/Statistics and 7 or more years of experience in the Predictive Analytics area OR High School Diploma or Equivalent and 9 or more years of experience in the Predictive Analytics area Ability to work in a fast-paced environment as a technical lead Strong software standards and engineering practices working within a shared codebase Preferred Qualifications: Experience in building enterprise grade Data & AI solutions within commercial insurance or financial services industry. Experience in ELT capabilities (Data Factory, DBT, Five Tran etc.) and languages such as Python, R, Scala, Java, and SQL. Experience with various Microsoft Azure services (including Data Lake, Databricks, Data factory, Cosmos DB, Power Platform, Co-pilot studio, Azure ML, Power Automate, Power BI etc.). Experience with vector stores like Elastic, Pinecone, Mongo Atlas, or Redis Experience with cloud data warehouse solutions like Snowflake, Fabric, or Redshift Exposure to deployments for LLMs including end to end unstructured data pipeline build, design of vector stores, embeddings, and prompt engineering. Strong communication skills with ability to effectively explain complex material Your pay at Zurich is based on your role, location, skills, and experience. We follow local laws to ensure fair compensation. You may also be eligible for bonuses and merit increases. If your expectations are above the listed range, we still encourage you to apply-your unique background matters to us. The pay range shown is a national average and may vary by location. The proposed salary range for this position is $145,750.00 - $238,700.00, with short-term incentive bonus eligibility set at 20%. We offer competitive pay and comprehensive benefits for employees and their families. [Learn more about Total Rewards here.] Why Zurich? At Zurich, we value your ideas and experience. We offer growth, inclusion, and a supportive environment-so you can help shape the future of insurance. Zurich North America is a leader in risk management, with over 150 years of expertise and coverage across 25+ industries, including 90% of the Fortune 500. Join us for a brighter future-for yourself and our customers. Zurich in North America does not discriminate based on race, ethnicity, color, religion, national origin, sex, gender expression, gender identity, genetic information, age, disability, protected veteran status, marital status, sexual orientation, pregnancy or other characteristics protected by applicable law. Equal Opportunity Employer disability/vets. Zurich complies with 18 U.S. Code § 1033. Please note: Zurich does not accept unsolicited CVs from agencies. Preferred vendors should use our Recruiting Agency Portal. Location(s): AM - Schaumburg Remote Working: Hybrid Schedule: Full Time Employment Sponsorship Offered: Yes Linkedin Recruiter Tag: #LI-MG1 #LI-DIRECTOR Nearest Major Market: Chicago

Job Description: AssetMark is a leading strategic provider of innovative investment and consulting solutions serving independent financial advisors. We provide investment, relationship, and practice management solutions that advisors use in helping clients achieve wealth, independence, and purpose. The Director of Data Engineering & Platform Strategy is a high-impact leadership role that bridges technical execution, architectural vision, and business strategy. This individual will serve as a hands-on technical leader responsible for the end-to-end delivery and operational health of AssetMark's data platform. The role includes direct management of data engineering teams and critical oversight of data governance, security, and the enablement of advanced analytics and AI/ML capabilities. We can consider candidates for this position who are able to accommodate a hybrid work schedule and are close to our Charlotte, NC office. Key Responsibilities I. Architecture & Strategic Leadership Define and Own Data Architecture: Define and drive the multi-year technical roadmap and architecture for AssetMark's enterprise data platform (Data Lakehouse, Data Warehouse, and Operational Data Stores). Ensure all data solutions are scalable, secure, resilient, and align with the enterprise vision (e.g., graph.assetmark.com concepts). Technical Authority & RFCs: Serve as the final technical authority on data architecture decisions. Lead and author strategic RFCs (Request for Comments) and architectural design reviews (ADRs), ensuring robust, future-proof designs across all data domains. Build vs. Buy Decisions: Lead the evaluation, selection, and implementation of new data technologies, frameworks (e.g., dbt, data observability tools, vector databases), and vendor solutions, balancing technical fit with financial cost-effectiveness. Pioneer AI/ML Data Enablement: Architect and implement data pipelines and infrastructure that specifically support data science and AI/ML model training, feature engineering, and inference serving, maintaining strong data governance throughout the lifecycle. II. Hands-On Delivery & Operational Excellence Engineering Oversight: Maintain a hands-on role in core design and code reviews, ensuring technical excellence, adherence to coding standards, and best practices across the engineering teams. Delivery Management: Oversee the successful, on-time delivery of complex, cross-functional data programs (e.g., major migrations, new product data foundations). Drive agile execution, project planning, and resource alignment for maximum efficiency. Governance Implementation: Translate data governance principles (data quality, lineage, classification) into automated, enforceable engineering practices within the CI/CD pipeline. Ensure compliance with financial industry regulations (e.g., PII handling, audit trails). Operational Health: Own the operational reliability, performance monitoring (SLAs/SLOs), and cost management of the data platform. Champion DevOps and Site Reliability Engineering (SRE) practices for data services. III. Stakeholder Management & Team Development Cross-Functional Collaboration: Act as the primary liaison and technical partner, collaborating closely with Product Managers to define requirements, Software Engineering teams to ensure data service interoperability, and Senior Business Stakeholders to align data initiatives with commercial priorities. Partner Management: Manage strategic relationships with critical external vendors, technology partners, and data providers (e.g., custodians, cloud vendors), ensuring favorable contracts and optimizing data acquisition strategies. Talent & Mentorship: Build, mentor, and lead a high-performing team of data engineers and architects, fostering a culture of ownership, technical rigor, and continuous learning. Guide career development and succession planning within the data engineering function. Required Qualifications Experience: 10+ years of progressive experience in Data Engineering, Software Architecture, or Technology Leadership, with at least 3+ years in a people management or dedicated technical leadership role. Hands-on Depth: Proven ability to remain hands-on in design and code architecture reviews. Deep expertise in Python, SQL, and distributed data processing (e.g., Spark/Databricks). Platform Expertise: Expert-level knowledge of modern cloud data platforms, including Snowflake, Azure Synapse, and/or Azure Fabric. Financial Domain: Strong preference for experience within the Financial Services, Wealth Management, or FinTech domain, including familiarity with concepts like custodial data, trade processing, and regulatory reporting. Leadership: Demonstrated success in setting coding standards, leading technical design reviews, and driving technical consensus across multiple development teams. Compensation: The Base Salary range for this position is between $215,000-$240,000. This information reflects a base salary range that AssetMark reasonably expects to pay for the position based on a number of factors which may include job-related knowledge, skills, education, experience, and actual work location. This position will also be eligible for additional variable incentive compensation and competitive benefits. Candidates must be legally authorized to work in the US to be considered. #LI-hybrid #LI-TN1 Who We Are & What We Offer: We are AssetMark, a company on the move, shaping the future of financial services. Growth is in our DNA. Every day, we combine technology, insight, and collaboration to create new possibilities for advisors, for our people and for our investors. At AssetMark your ideas matter; they're heard, valued, and drive meaningful change. Join a team that sets new standards and creates space for you to thrive and do your best work. Our Mission Our mission is simple: to help our 10,500+ financial advisors make a meaningful difference in their clients' lives. We do this by combining powerful technology, holistic support, and expert consulting to help advisors run stronger, more efficient businesses. Backed by a comprehensive suite of investment solutions and a trust company that boasts of $150B+ AUM, our platform empowers advisors to deliver exceptional service and an outstanding client experience. Our Values Heart. Client Success. Integrity. Respect. Excellence. Our values are how we show up every day. We believe in: Leading with Heart, in truly making a difference in the lives of others: teammates, clients, investors and communities. Obsessing over Client Success, bringing a relentless focus on what matters to clients that sets us apart and creates loyal, lasting relationships. Unyielding Integrity, doing what's right, always. Even when it's hard. Collective Respect, in being authentic, inclusive and valuing all voices while winning together. Operating with Excellence, in learning fast, continuously improving, innovating and collaborating to find new and better solutions. These values shape our culture, guide our decisions, and define what it means to be part of the AssetMark family. Our Culture & Benefits Our culture brings our mission and values to life. Here, we do what's right, embrace diverse ideas, and innovate together. We also offer a wide range of benefits to support you and your family-because thriving at work starts with thriving in life. Flex Time or Paid Time Off and Sick Time Off 401K - 6% Employer Match Medical, Dental, Vision - HDHP or PPO HSA - Employer contribution (HDHP only) Volunteer Time Off Career Development / Recognition Fitness Reimbursement Hybrid Work Schedule As an Equal Opportunity Employer, AssetMark is committed to building a diverse and inclusive workplace where everyone feels valued.

Be part of something groundbreaking At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond, and we need your help. With the support and investment needed to explore new frontiers in Generative AI, you'll be working alongside talented colleagues, innovating and contributing to projects that will transform how we manage risk and serve our customers. This team is central to our vision of the future and the core of our business offering. We will incorporate best-in-class engineering and product management principles, and your contribution will be critical to its success. To rapidly advance and innovate, we need your skills and expertise to build world-class products. If you're excited by the opportunity to create meaningful impact at scale and shape the future of the insurance industry, we'd love to hear from you. Who we are AIG is one of the leading global commercial and personal insurance organizations, with one of the most far-reaching property casualty networks. We provide world-class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions. At AIG, we're reshaping how the world manages risk, and we're inviting you to be a key part of that transformation. As a Data Architect, you'll have the opportunity to make a meaningful impact, leveraging and further developing your skills to guide groundbreaking AI initiatives. If you're looking for a place to grow your career and where your contributions will shape the future, AIG is where you belong. How you will create an impact As a Data Architect, you will drive the development of AIG's data architecture and ontology frameworks, ensuring that our data systems are robust, scalable, and future-proof. You'll shape how data is modeled, integrated, and governed across the organization, helping business applications deliver faster with greater quality and compliance. Your role will be crucial in creating reusable enterprise information assets, and you will collaborate closely with solution architects, product owners, and engineering teams to deliver high-impact business outcomes. This is an opportunity to play a key role in ensuring data architecture supports innovation, compliance, and improved business performance. Your responsibilities include Creating and managing data models and ontologies for large-scale business applications across multiple geographies Assisting the design and integration of enterprise information assets, services, and business systems to ensure efficient data usage and compliance with governance standards Documenting and continuously improving data architecture systems, while educating teams on data governance standards and best practices Collaborating with product owners, engineers, and the Data Governance team to ensure high data quality, security, and privacy compliance across business applications Monitoring market and industry trends in data architecture and applying them to enhance AIG's information lifecycle management and data integration processes What is needed to be successful Data modeling and data analysis experience: You bring expertise in creating complex data models, and have a proven track record of modeling with 3NF, as well as dimensional and Data Vault methodologies, as well as contributing to the data architecture strategy at an enterprise level Strong data analysis, data profiling and SQL skills You have experience with best practices in data governance, security and privacy in modeling and data architecture Strong knowledge of data technologies, data design practices and data integration Passion for integrity and clarity of data Experience with master and reference data management Experience across sub-functional data domain areas such as reporting, analysis, conceptualization and design of data assets across warehouses and marts You are passionate about using the latest technology for data innovation and are excited to use AI and LLM integration to innovate Experience (or certification) with data modeling tools, ETL tools, Snowflake, Dimensional Modeling, Data Vault modeling, ER modeling Experience (or certification) working with NoSQL databases like MongoDB, experience with XML / JSON Solid communication skills - verbal and written AGILE / Rally development experience or training required Experience with (or strong enthusiasm about) AI-driven solutions It would be nice if Experience in Data Warehousing Experience using Snowflake platform You have a good understanding of ontologies Experience with Palantir Foundry or similar tool is highly desired Experience in insurance or financial services is desired Ready to solve bigger problems? We would love to hear from you. Veterans are encouraged to apply. #LI-AIG #LI-CM1 #AI #GenAI #artificialintelligence #DataEngineering #DataMining At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike. Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family. Reimagining insurance to make a bigger difference to the world American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become. Welcome to a culture of inclusion We're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations. AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com. Functional Area: DT - Data AIG PC Global Services, Inc.

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what's possible with LPL Financial. Job Overview: This role bridges business strategy, data governance, and technology delivery, ensuring our advisor platform has accurate, governed, and high-quality participant and party data across systems. The ideal candidate combines product ownership expertise, data governance acumen, and technical literacy, enabling them to translate business needs into scalable, governed data solutions that power client and advisor experiences. Responsibilities: Own the vision, strategy, and roadmap for Participant/Party SOR capabilities and integrations across the advisor platform. Collaborate with business, data, and technology stakeholders to ensure alignment on goals, requirements, and governance principles. Serve as liaison to Commonwealth and future M&A integration teams for metadata documentation, data quality, and lineage validation. Write and manage epics, stories, and acceptance criteria in Jira, ensuring traceability between business and technical requirements. Define and maintain data governance standards, including quality rules, scorecards, and SOR documentation in Confluence. Oversee data profiling, lineage analysis, and validation to ensure integrity across source and target systems. Lead and mentor team members in agile practices, sprint planning, and continuous improvement. Monitor and communicate project progress, risks, and dependencies, driving resolution and stakeholder transparency. Advocate for customer-centric, data-driven decision-making and continuous improvement of data quality and usability. Requirements: Bachelor's degree in related field (advanced degree preferred). Minimum of 7 years in data-centric product ownership, data management, or governance roles within financial services or fintech. Minimum of 5 plus year experience with SQL, data modeling (star/snowflake), and data governance tools. Minimum of 5 plus years experience translating complex data concepts into business value and vice versa. Preferred Skills: Experience with AWS, Snowflake, and data pipeline transformations. Background in wealth management or financial advisory services. Familiarity with API-based & Kafka integrations, and CRM data flows. Proficiency in Tableau, Power BI or other visualization tools. Proven ability to mentor team members and drive a culture of collaboration and governance excellence. Core Competencies Deep understanding of CRM party data architecture, data integration, and systems of record (SOR). Hands-on experience in agile delivery, Jira, and Confluence. Strong analytical, communication, and stakeholder management skills. Experience in Product Ownership, Analytical Thinking & Problem Solving, Communication & Leadership, and a Continuous Improvement Mindset Technical Acumen (SQL, Data Models, APIs) Pay Range: $106,088-$176,813/year Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer! Company Overview: LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. For further information about LPL, please visit www.lpl.com. Join LPL Financial: Where Your Potential Meets Opportunity At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services. Why LPL? Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here! Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here! Unified Mission: We are one team on one mission-taking care of our advisors so they can take care of their clients. Learn more about our mission and values here! Impactful Work: Our size is just right for you to make a real impact. Learn more here! Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here! Community Focus: We care for our communities and encourage our employees to do the same. Learn more here! Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here! Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE. Information on Interviews: LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947. EAC12.9.25

About Re:Build Manufacturing Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America's next generation industrial company. At Re:Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We leverage deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential. Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We've assembled a powerful set of complimentary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we're leveraging their combined expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment. Who we are looking for The Data Engineer will focus on utilizing modern data technologies to operationalize and expand the enterprise Data Lake. This role centers on implementing efficient ingestion strategies, integrating diverse data sources, and ensuring data is structured for accessibility and analysis. The engineer will work across hybrid environments-on-prem and cloud-to automate data movement, validate data quality, and enable analytical teams to derive insights from trusted, well-organized datasets. This position requires hands-on technical depth in data ingestion and transformation, along with the analytical understanding needed to align data availability with business and reporting needs. PLEASE NOTE THE REQUIREMENTS BELOW Location: We are seeking candidates who currently reside in the Seattle, WA or Los Angeles, CA metropolitan areas. Travel: This role requires quarterly travel to our downtown Los Angeles office. Re:Build's Compensation Philosophy Competitive Base Pay All Re:Build Employees are eligible for performance-based bonus All Re:Build Employees receive Re:Build incentive stock awards, annual Competitive, Comprehensive Benefits Plan. Opportunity Exciting opportunity to work in a multi-site high-tech manufacturing conglomerate. Impactful role, and one in which you will enjoy considerable autonomy and variety. Investor-backed business to support growth. Financial rewards. Enormous learning experience and the opportunity to acquire additional responsibilities over time. What you get to do Data Design & Integration Co-design data interfaces and pipelines in close collaboration with software engineers and technical leads, ensuring alignment with application domain models and product roadmaps. Build and operate batch, streaming, and change data capture (CDC) pipelines from diverse sources (ERP, CRM, Accounting, knowledge repositories, and other enterprise systems) into the data lake. Data Modeling & Enablement Model curated data within the lake into data warehouse structures (e.g., star schemas, wide tables, semantic layers) optimized for business intelligence (BI), ad-hoc analytics, and key performance indicator (KPI) reporting. Publish certified datasets and policy-aware retrieval assets (tables, document embeddings, vector indexes) to enable analytics, AI, and retrieval-augmented generation (RAG) use cases. Data Governance & Quality Establish robust data observability and quality checks to ensure reliability and consistency. Apply governance, security, and compliance controls across the data lake and warehouse - including role-based access, encryption, auditing, and data retention - in alignment with applicable regulations. Operations & Continuous Improvement Operate the platform reliably by orchestrating jobs, monitoring pipelines, and continuously tuning cost and performance. Work in accordance with The Re:Build Way, demonstrating collaboration, continuous improvement, and technical excellence in every aspect of data engineering. What you bring to the Team 5 - 8+ years of proven experience building production-grade data systems with a strong understanding of cloud-based data lake architectures and data warehouses. Demonstrated expertise in designing and operating data pipelines (batch, streaming, CDC), including schema evolution, backfills, and performance tuning. Hands-on proficiency with Python and SQL, including experience with distributed processing frameworks (e.g., Apache Spark) and CI/CD for data workflows. Proven ability to design and implement ETL/ELT workflows and data modeling techniques (e.g., star schemas, wide tables, semantic models). Proficiency with cloud data platforms and services such as AWS, Databricks, and Snowflake, with a focus on scalability and reliability. Familiarity with open table formats (e.g., Iceberg, Delta, Hudi) and business intelligence data modeling. Understanding of data governance, lineage, and data quality frameworks to ensure reliability, accuracy, and compliance. Experience or strong interest in enabling AI/ML use cases (e.g., RAG/search datasets, embeddings, vector indexes). Bachelor's degree (BA/BS) in Computer Science, Data Science, Mathematics, Analytics, or a related quantitative field (or equivalent experience). Fluency in written and spoken English. Personal Attributes Brings enthusiasm, curiosity, and a consistently positive attitude. Leads by example - offering guidance, mentorship, and accountability on key technical decisions. Skilled at analyzing complex technical challenges and delivering innovative, efficient solutions. Flexible and adaptable to shifting priorities, requirements, and emerging technologies. Communicates clearly and effectively, both in writing and verbally. Exceptionally organized and thrives in a fast-paced, dynamic environment. Strong analytical and problem-solving abilities with sharp attention to detail. Collaborative team player who works effectively across departments and levels of the organization. Must successfully complete a background check and provide reliable professional references. Compensation: Base salary range $135 - $200K, depending upon candidate qualifications. Additionally, you will have an annual cash bonus and long term incentive. The BIG payoff We are a company who is going to make a difference in the industries and the communities in which we choose to operate. Every employee of Re:Build will share ownership in the company and will share in the financial rewards of the success we achieve together, at all levels of the company! We want to work with people that reflect the communities in which we operate Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason. Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.

Work Flexibility: Remote Join Stryker's global transformation journey! As a Senior Master Data Deployment Analyst, you'll play a critical role in ensuring the accuracy and integrity of material and finance master data during our SAP implementation. This is an opportunity to influence global data standards, drive process excellence, and enable seamless go-live execution across divisions and geographies. What You Will Do Coordinate with business stakeholders to document and execute go-live activities, including ramp-up and ramp-down tasks; building strong relationships Ensure completeness and accuracy of material master data through rigorous data quality checks and validation Lead data cleansing, conversion, and migration activities in collaboration with business SMEs Perform manual data loads and updates as required to support project timelines Support testing activities (Integration, UAT, Regression, DITL) by preparing scenarios and data for successful outcomes Analyze and resolve data defects identified during data loads or testing, ensuring timely remediation Develop and maintain work instructions and Power BI dashboards to monitor data quality and load progress Deliver training and onboarding for local data readiness resources, promoting global master data standards What You Will Need Required Qualifications Bachelor's degree in Information Sciences, IT, Finance, Engineering, or related field Minimum of 2 years experience working with material master data Functional experience with ERP processes (ex: OTC, PTP, FTS, RTR) and their master data dependencies Prior experience with ERP or large-scale systems Proficiency in Microsoft Office and data analysis tools, particularly Excel Preferred Qualifications Minimum 3 years of experience in SAP material master data; finance master data experience Experience with SAP MDG and S/4HANA applications Data experience related to the medical device or pharmaceutical industry Knowledge of master data governance principles and best practices Familiarity with Power BI for reporting and dashboard creation $69,100 - $139,600 salary plus bonus eligible + benefits. Individual pay is based on skills, experience, and other relevant factors. Posted: November 26, 2025 Travel Percentage: 20% Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability. Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

Benefits and Culture We offer a competitive compensation and benefits package designed to help employees live a healthier life, build rewarding careers and save for the future. Reser's offers choices whenever possible, because we recognize the diverse and ever-changing needs of our employees. Full-time employee benefits include medical, dental, vision, AD&D, life, 401(k) with discretionary match, wellness programs, paid time off, company paid holidays and a variety of voluntary benefit options. We strive to be your Employer of Choice. As one of our five cornerstones, this means that we go all-out to create an environment that shows we are committed to investing in employee growth and creating a culture of belonging where employees want to build a lasting career. Visit our website to learn more about our competitive benefit programs - https://www.resers.com/careers/#benefits Principle Duties and Responsibilities Monitor Helpdesk requests (Samange) for MDM in our ERP system Reviews and approves changes/additions to key strategic data elements to ensure application harmonization and business effectiveness This position will require collaboration with key members of IT, Supply Chain, Operations, Sales, Marketing, Finance, Quality, and other teams as needed Manages daily publication of all Global Data Synchronization Network (GDSN) data. Monitors Data Publication mailbox for publication requests and tracks requests for completion. Publishes product data to customers. Executing technical development and configuration of various Master Data Management elements to ensure accurate data creation, transformation, translation and retention Manage data implementation and configuration of critical external and internal business information Coordinates business processes and requirements for onboarding new GDSN customers. Assists IS team in researching publication issues due to XML or ERP systems Two (2) years of practical work experience in a Data Analytics or Data Support role. Two (2) years of progressively responsible technical research experience engaged in the collection, compilation, analysis, and interpretation of data. Detail Oriented Experience in processing, managing, and retrieval of information. Proficient in MS Office applications Ability to work independently without requiring oversight and follow-up Must be self-motivated, organized and detail oriented Excellent interpersonal skills such as verbal and written skills Resourceful, looks for solution rather than allowing obstacles to impede progress Creative and innovative Able to take directions and give directions in a clear manner Willing to learn new software applications and methods Experience with technical writing; experience designing, contributing to, or managing a documentation platform or knowledge base Experience training and supporting users or experience creating training materials; experience leading those efforts is an additional plus Not afraid to ask questions and seeking assistance when needed Strong analytical and problem-solving skills Strong organizational and time management skills Job Specifications A Bachelor's Degree in a Software, Computer Science, or IT related field. Additional qualifying experience may be substituted for the required education Experience with Product Information Management Systems (PIM) such as Data Sync Direct Exposure to 1World Sync Knowledge of GS1 standards Knowledge of GDSN Understand XML code Coding background Knowledge of data analysis software Working Conditions Office environment. Heavy phone usage, continuous computer usage. This position is eligible for a bonus based on company goals/performance. Recipe for Success Reser's is the leading provider of fresh refrigerated deli salads, side dishes, and prepared foods for the supermarket, club store, and food service industries. Family owned and operated, Reser's has been a proud sponsor of good times at racetracks, picnics, BBQs, music festivals, and affordable family meals since 1950. Reser's family of brands include Reser's American Classics, Main St Bistro, Stonemill Kitchens, and more. With more than 4,500 employees, Reser's operates 14 facilities in the US, Mexico, and Canada and actively supports the communities it serves. #INDCorporate

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Hybrid The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. Responsibilities Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. Have data quality and performance top of mind while designing datasetsLeading key data engineering projects that drive collaboration across the company. Advocating for adopting industry tools and practices at the right timeOwning core SQL and python data pipelines that power our data lake and data warehouse. Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale. You’ve have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks. You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka. You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data. You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption. You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure. You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs. You are a champion for data privacy and integrity, and always act in the best interest of consumers. The target base salary for this position ranges from $180,000/year to $270,000/year in Zone 1. The target base salary will vary based on the job's location. Our geographic zones are as follows: Zone 1 - New York City and San Francisco Bay Area Zone 2 - Los Angeles, Seattle, Washington D.C. Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego Zone 4 - Raleigh-Durham and all other US cities Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com Please review our Candidate Privacy Notice here .

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Senior Data Scientist, Data Journalism San Mateo, CA (hybrid)* This position will also require onsite work at least one day/week at our San Mateo location. As a Senior Data Scientist focused on Data Journalism in the Product Data Science team, you will be working at the forefront of data science to uncover and share important data stories by exploring user behavior across the PlayStation ecosystem and discovering and communicating new information about our users and our ecosystem that will advance our company's ability to use data. You will work with team members and internal customers to harness your knowledge of data communication and data analysis techniques in order to unravel complex phenomenon and inform decision making throughout the company that will help create a personalized, joyous experience for PlayStation users around the world. Responsibilities: Identify and bring to life data stories that are present but unexplored in the team's output in a way that is both accurate and approachable. Use impactful visuals and concise narratives to create compelling stories for technical and non-technical audiences in product management, partner services, commerce, strategy, data, and engineering departments. Explore PlayStation data to ensure that you are using the best source of data for your analyses and maintaining awareness of any issues of interpretation that may arise. Perform ad-hoc analyses on petabytes of complex data. Learn new tools as appropriate and determine how best to convey your stories in the tools and formats that are available to you. Develop a thorough understanding of the business, our products, partners, and users, how information flows through the company, and how the PDS team contributes to and supplements that flow. Provide critical information to diverse audiences to inform decision making, increase understanding of our ecosystem, and inspire action and innovation. Required Skills and Qualifications: Strong understanding of data manipulation techniques, including intermediate or advanced understanding of SQL and Python or other similar languages. Excellent data storytelling skills, with the ability to translate complex data into clear, engaging, insightful narratives. Strong analytical and problem solving skills. Proficiency with data visualization tools. Experience working with large, complex datasets. Keen sense of what data stories should be told and how to tell them. Excellent communication and interpersonal skills and the desire and ability to work collaboratively with people from different areas of expertise and build and maintain relationships with a variety of partners and internal customers. Strong business sense and interest in what we do and how we do it. Ability to adapt your thinking when faced with new evidence. Preferred Qualifications: Knowledge of the gaming industry or related domain areas (e.g., media or entertainment). Familiarity with Streamlit or similar frameworks. Experience working closely with data scientists and/or data engineers. Experience working in a global environment. Ability to influence without authority. PlayStation offers a global hybrid office/remote working model - Flex Modes - which aims to combine the flexibility of remote working with the magic of in-person collaboration. The model is built upon the principle of working together in-person as work requires, with the freedom to work remotely otherwise. We will consider fully remote candidates who are able to come in for 'Moments that Matter'. #LI-KD1 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $182,500-$273,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Title: IBM Data Stage (Big Data Edition) Location: Marlborough, MA Duration: Full Time Salary: $Market Requirements Key skills required for the job are: IBM Data Stage Big Data Edition-L3 (Mandatory) Data Stage Admin-L3 IBM Info sphere CDC-L3 As a Lead Administrator, you should be able to act as a Single point of contact for the technical tower in front of the customer management. Ensure proper communication and quick resolution as a crisis manager. Responsible for Vendor Management and people management. Drives day to day operations and work plan allocation/management. Conduct periodic reviews with teams. Weekly and monthly status reports to higher management. Participate in business meetings with various stake holders. Take corrective actions based on the customer satisfaction surveys. Drive service improvement programs. Ensure adherence to quality / security standards defined for the engagement Perform Trend analysis, identify top few incidents and work with respective teams/individual to minimize the incidents. Effort estimation/reviews on need basis for new projects. Minimum work experience:5 - 8 Years Benefits Note: If interested please send your updated resume to sagar.chand@two95intl.com and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!

About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success. DS Technologies Inc is looking for Data Engineer / BI Developer – Cloud Data Platform rolefor one of our premier clients. Job Title: Data Engineer / BI Developer – Cloud Data Platform Location: New York, NY (Onsite) Duration: Contract Only W2 Job Description: We are seeking a highly skilled Data Engineer / BI Developer to join our Cloud Data Platform Managed Services team. The ideal candidate will possess strong technical expertise in PySpark , SQL , and data visualization , with hands-on experience in tools such as Retool and Power BI . This role requires a mix of backend data engineering and frontend dashboard development skills to design, build, and maintain scalable data pipelines and analytical solutions. Key Skills: PySpark | SQL | Python | Java | Retool | Power BI | Cloud Data Platforms | ETL/ELT | Dashboarding | Front-End Design | Data Modeling | Data Visualization Key Responsibilities: Design, develop, and optimize ETL/ELT data pipelines using PySpark , SQL , and cloud-native services . Develop interactive and dynamic dashboards and visualizations using Retool or Power BI to support business analytics and reporting needs. Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable data models and reports. Integrate data from multiple sources (structured and unstructured) into unified datasets for analysis and visualization. Implement and manage data transformation workflows , ensuring accuracy, performance, and compliance with data governance standards. Participate in infrastructure management for the Cloud Data Platform, focusing on data accessibility, reliability, and scalability. Work closely with cross-functional teams to ensure end-to-end data integrity and performance tuning. Apply software engineering best practices such as version control, testing, and CI/CD in data pipeline development. Required Qualifications: 5+ years of hands-on experience in Data Engineering and Business Intelligence development . Strong expertise in PySpark and advanced SQL coding for complex data transformations. Experience with Retool (preferred) and/or Power BI for dashboard development. Proficiency in Python and Java for data processing and integration. Understanding of front-end web design principles to build user-friendly data interfaces. Experience working with cloud data platforms (AWS, Azure, or GCP) Strong analytical and problem-solving skills with an eye for data quality and accuracy. Self-starter with the ability to define requirements, design solutions, and execute independently. Excellent communication and collaboration skills with cross-functional stakeholders. Preferred Qualifications: Experience with data warehouse modeling and performance tuning . Familiarity with data governance , security standards , and metadata management . Exposure to data visualization libraries (e.g., D3.js, Plotly) is a plus. Bachelor’s or master’s degree in computer science, Data Engineering , or a related field. Compensation: $52.00 per hour We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: Unlocking Value and Governing Cotality's Data Assets The Property Data Steward is the Data Fluency Leader and Value Enabler for Cotality's core property data assets (Tax Assessor, Appraisal, Transactions, and Derived Data). This is a strategic, high-impact role responsible for moving Data Stewardship beyond basic curation into AI Enablement and Enterprise Confidence. As a dual role, you are the highest-level expert in data fluency across the property domain and the data supply chain. You act as the primary Business/Technology Liaison , responsible for ensuring all products, models, and decisions built on Cotality’s data have a strong foundation of data that is fit-for-use and has consistent interpretation. Your core mandate is to fundamentally unlock the strategic use of our data assets for the business by enforcing governance principles and enabling effective data consumption. You will champion the "why" behind governance, providing the essential scaffolding and framing the organization relies on, ensuring that data is Findable, Usable, Well Understood, and Trustworthy. Your success will be measured by delivering AI-Ready Data and championing AI-Enabled Data Stewardship. Key Responsibilities Data Governance Interpretation and Advocacy Standard Advocacy & Policy Enablement: Support the creation and maintenance of the Data Stewardship Standard Handbook , which rolls up to the overall Data Governance Policy. Your focus will be on operationalizing the spirit of the rule to accelerate business value, not on process constraints. Data Classification and Metadata Stewardship: Responsible for Metadata management and Classification of all core data fields in the property domains. You will champion and contribute to this process to ensure data assets are Findable, Usable, Understandable, and Trustworthy in alignment with Cotality's enterprise goals. Compliance and Permissible Use: Partner with data governance, data sourcing, and compliance to ensure appropriate permissible use standards are tagged and enforced. Center of Excellence ( CoE ) Leadership: Drive the adoption of stewardship principles through the CoE , acting as the subject matter expert to democratize governance functions across non-FTE roles in Product, Operations, and Data Science. Data Asset Strategy & Ontological Enablement (The Data Asset Enabler) Strategic Data Asset Readiness & Fit-for-Use: Champion the fitness-for-purpose of data assets for all business use cases, from critical production products to future exploratory needs. This includes: Partnering with Data Quality and Engineering teams to define and continually refine quality metrics and scorecards based on domain knowledge. Proactively driving action plans for data improvement based on quality scores, assessing urgency (e.g., KBE status), and recommending whether to adjust governance rules or the data itself. Strategically cataloging and classifying all data (including unused or exploratory data) based on its current and potential use in Cotality's products (e.g., Critical, Informative, Exploratory) to accelerate time-to-value. Data Feasibility and Product Advisory: Conduct in-depth analysis and research to advise Product, Data Science, and Engineering teams on the Fitness-for-Use of data assets. Specifically, you will recommend fields based on quality, fill rate, lineage, and other metadata to support critical use cases. Define and Govern Ontology (The Keeper of the Dictionary): Partner with key stakeholders to define the unifying language and global ontology for core property data concepts to ensure consistent semantic interpretation across all business units, data supply chains and consuming systems. You will act as the ontological arbiter. AI Readiness and Semantic Interpretation: Collaborate with key stakeholders to design the Clarification Layer within the semantic framework. This layer enables CoreAI and ML models to intelligently interrogate and interpret diverse data definitions, ensuring data is AI-Ready. AI & Technology Enablement Operational AI Advocacy: Identify and advise on opportunities where AI and ML operations can be leveraged to enhance the internal data supply chain, improve data quality monitoring, and increase governance efficiency. Governance Platform Super User: Act as the primary feedback loop for the Data Governance Tool (e.g., Collibra). Define and mandate feature requirements to eliminate manual cataloging and curation tasks. Embedding Governance: Partner with Data Engineering and Technical Stewards to embed governance into the "native run of show" (e.g., championing Requirements as Code) to ensure automated data profiling, lineage capture, and cataloging of data assets in alignment with Enterprise Data Stewardship standards. Job Qualifications: Business Acumen & Domain Mastery: Intimate knowledge of property data domains (Assessor, Appraisal, Transactions) and the specific business use cases within the financial, insurance, or real estate sectors. 5-7 years of relevant experience. Data Governance & Analytical Practice: Proven experience in supporting data governance standards, policies, and operating models. Proficiency with Enterprise Data Governance platforms (e.g., Collibra) and metadata management. Critical Thinking & Negotiation: Exceptional communication, presentation, and negotiation skills. Ability to critically think about a problem and provide solutions that meet stakeholders' needs. Must act as an effective Arbiter and Liaison between technical teams, business leaders, and compliance stakeholders. Systemic thinking and the ability to translate technical output into clear business impact are essential. Bachelor's Degree preferred or equivalent work experience Additional Skills Preferred AI Aptitude and Technical Literacy: Demonstrated hands-on experience as a core user of AI tools (e.g., LLMs, generative AI, advanced analytics) for personal productivity and process optimization. Strong understanding of AI/ML basics. Data Ontology and Taxonomy: Background in developing and implementing data ontologies for use in semantic layers. #LI-Remote Annual Pay Range: 90,000 - 120,000 USD Application Window: This opportunity is expected to remain posted through the date identified below, subject to business needs. 2026-02-04 Thrive with Cotality At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life. Highlights include: Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off. Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend. Health: Multiple medical plan options with mental health and wellness support offerings. Retirement: 401(k) with company match and vesting after one year. Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250. Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more! Click here to see a comprehensive list of our benefit offerings. Please note, Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from the posted range Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace. ​ ​ ​ Cotality is fully committed to a work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. ​ We are better together when we support and recognize our differences. ​ Global Applicant Privacy Policy By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. Connect with us on social media! Click on the quicklinks below to find out more about our company and associates

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Analytics, Data Science, Technology Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $126,500.00 - $208,700.00 Target Openings 1 What Is the Opportunity? Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate stories found in data by leveraging a variety of data programming techniques. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. What Will You Do? Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions. Design complex data solutions Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes. Incorporate core data management competencies including data governance, data security and data quality. Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment. Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate. Test data movement, transformation code, and data components. Perform other duties as assigned. What Will Our Ideal Candidate Have? Bachelor’s Degree in STEM related field or equivalent Eight years of related experience Experience with building robust data pipelines and working with large-scale datasets. Proficiency in tools like AWS, Databricks, Snowflake, Gen AI, ETL Tools, Terraform etc. Passion for automation, optimization and delivering high-quality data solutions. A problem-solving mindset with a focus on continuous improvement. Incorporate core data management competencies including data governance, data security and data quality. Highly proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and a full understanding of modern software engineering practices. The ability to deliver work at a steady, predictable pace to achieve commitments, deliver complete solutions but release them in small batches, and identify and negotiate important tradeoffs. Demonstrated track record of domain expertise including understanding technical concepts necessary and industry trends, and possess in-depth knowledge of immediate systems worked on and some knowledge of adjacent systems. Strong problem solver who ensures systems are built with longevity and creates innovate ways to resolve issues. Strong written and verbal communication skills with the ability to work collaborate well with team members and business partners. Ability to lead team members and help create a safe environment for others to learn and grow as engineers. and a proven track record of self-motivation in identifying opportunities and tracking team efforts. What is a Must Have? Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience. 4 additional years of data engineering experience. What Is in It for You? Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/ .

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: We are seeking a hybrid-remote detail-oriented Data Transformation Analyst to support business decisions through comprehensive data analysis. This role involves interpreting data from multiple sources, identifying trends and anomalies, and ensuring data integrity through quality assurance. The analyst will build and test rules, extract and validate data, and present insights to stakeholders to drive business value. Job Responsibilities: The role involves performing a wide range of data analysis tasks to support business needs. The individual will be responsible for analyzing and interpreting data from multiple sources to identify trends, anomalies, and changes. They will also need to build and test rules, extract data, and perform quality assurance to ensure data integrity and efficiency. A key part of the job is communicating findings to stakeholders , including reporting trends and presenting information orally to add business value. This position requires a strong focus on data quality, problem-solving, and presenting insights to drive business decisions. Job Qualifications: Minimum of 5 years of professional experience A strong candidate will have expertise in coding, data analysis, modeling, and visualization , with specific skills in using tools like Tableau, SQL, and Office Suite . The role requires the ability to explore and analyze both structured and unstructured data , identify patterns, and perform comparative analysis using basic statistical concepts . A qualified individual will also possess knowledge of real and personal properties, basic US real estate, and data transfer protocols like FTP and ETL . In addition to technical skills, the candidate should be an effective problem solver with strong communication skills , and the ability to self-train and apply new concepts like AI and Lean methodologies . Proven ability to collaborate effectively across teams and communicate with diverse stakeholders to achieve shared goals. #LI-Hybrid Annual Pay Range: 65,200 - 80,080 USD Application Window: This opportunity is expected to remain posted through the date identified below, subject to business needs. Thrive with Cotality At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life. Highlights include: Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off. Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend. Health: Multiple medical plan options with mental health and wellness support offerings. Retirement: 401(k) with company match and vesting after one year. Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250. Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more! Click here to see a comprehensive list of our benefit offerings. Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace. ​ ​ ​ Cotality is fully committed to a work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. ​ We are better together when we support and recognize our differences. ​ Global Applicant Privacy Policy By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. Connect with us on social media! Click on the quicklinks below to find out more about our company and associates