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About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, Sam Altman, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position We're looking for a Senior Data Engineer to join the Data Platform team at Formation Bio to help transform Electronic Health Records (EHR) data into structured, analytics-ready assets. In this role, you'll be partnering closely with our Data Science team to model, transform, and refine data for operational and scientific use cases. This position sits at the intersection of healthcare data engineering, modern data platform infrastructure, and generative AI. While your initial focus will be on building high-quality EHR models for Formation Bio platform, you'll also contribute to our broader data architecture by leveraging tools like Snowflake, Dagster, and dbt to enable scalable, governed, and high-reliability pipelines. The ideal candidate combines deep data engineering experience with both GenAI fluency (e.g., LLM-based entity extraction, summarization, classification) and strong technical expertise with modern data tooling. You'll play a key role in shaping how healthcare data becomes discoverable, structured, and impactful across the organization. Responsibilities Model and transform raw EHR data into clean, canonical, and analytics-ready datasets using SQL, Python, and clinical standards like FHIR, HL7, or OMOP. Build and manage scalable data pipelines using Dagster for orchestration, dbt for transformation, and Snowflake as the primary compute and storage engine. Collaborate with Data Science and product stakeholders to co-develop cohort logic, derived features, and structured outputs that meet real-world scientific needs. Apply Generative AI techniques within transformation layers-using LLMs for named entity recognition, document summarization, classification, and schema alignment. Write robust, testable, and version-controlled code that adheres to CI/CD and data governance best practices. Implement data validation and observability frameworks to ensure quality, trust, and reproducibility of datasets. Document transformation logic, assumptions, and data lineage in collaboration with metadata and cataloging systems. Contribute to the evolution of the Data Platform by helping define standards, patterns, and best practices around GenAI and platform-scale data engineering. About You You have 5+ years of experience in data engineering, ideally with at least 2 years working in healthcare or life sciences, including direct exposure to EHR datasets. Experience with ontologies and biomedical schemas (e.g. UMLS, LOINC, ICD9/10, MeSH, etc.)] Experience and understanding of modalities found within EHR datasets incl. Billing claims, lab results, visit notes, images Experience in biomedical feature engineering, e.g. variable transformations and derivatives You're fluent in SQL and Python, and you've built and maintained production-grade pipelines that support analytics, science, or operational workflows. You have hands-on expertise with modern data infrastructure, including: You're experienced in applying GenAI techniques within pipelines, including prompt engineering, LLM-based entity extraction, and classification/summarization workflows. You value clarity, documentation, and structured thinking-especially when working with complex data like healthcare records. You have a growth mindset and are excited to build bridges between isolated data environments and governed, shared models that power scientific innovation. Bonus: You've worked in regulated or privacy-sensitive data environments, and you're familiar with governance models for PHI or sensitive data Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with additional growth in the Research Triangle (NC) and San Francisco Bay Area. Please only apply if you reside in these locations or are willing to relocate. Compensation: The target salary range for this role is: $230,000 - $280,000. Salary ranges are informed by a number of factors including geographic location. The range provided includes base salary only. In addition to base salary, we offer equity, comprehensive benefits, generous perks, hybrid flexibility, and more. If this range doesn't match your expectations, please still apply because we may have something else for you. You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. #LI-hybrid

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps Structuring, write, communicate and facilitate client presentations; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Senior Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement. Position Description Our Senior Engineer is a key member of the engineering staff working on Web solutions ensuring that we provide a friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between. Position Responsibilities As a Senior Engineer, you will: Scope, design, and build scalable, resilient distributed systems Build product definition and leverage your technical skills to drive towards the right solution Engage in cross-functional collaboration throughout the entire software lifecycle Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization Define, create, and support reusable application components/patterns from a business and technology perspective Utilize programming languages like JavaScript, TypeScript, Java, C#, Python, Go, and Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services Mentor other engineers Consistently share best practices and improve processes within and across teams Utilizes developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) to perform advanced-level Mobile/Web/UI design, implementation, and maintenance activities under minimal direction Qualifications Fluency and specialization with at least two modern languages such as Java, Spring Boot, Python, Golang, including object-oriented design Proven understanding of micro-services architecture and extensible REST APIs Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework Experience in existing Operational Portals such as Azure Portal Experience with application monitoring tools and performance assessments Knowledge of security protocols and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth In-depth knowledge of CS data structures and algorithms Experience with continuous delivery and infrastructure as code Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems Experience in Web Application Frameworks Experience in securing web applications Experience 4+ years of professional software development experience within Web frameworks/SDKs/languages such as Java, Spring Boot, Python, Golang, including object-oriented design 3+ years of experience with architecture and design 3+ years of experience with AWS, GCP, Azure, or another cloud service 2+ years of experience in open-source frameworks Education Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience #Li-RP2 Annual Salary $90,000.00 - $185,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Job Description: Senior Staff Engineer, Operations (Finance Technologies, Planning & Controls) External Posting Title: Senior Technical Program Manager - Finance Data GEICO is seeking a very experienced Program Manager with a passion for managing complex programs across multiple departments and teams to join our Finance Technologies (Planning & Controls) team as a Senior Technical Program Manager. You will be integral in driving teams of engineers to implement a Finance Data Warehouse / Lake that will become the hub and store for GEICO's Finance Data. As the Senior Technical Program Manager, you will be responsible for planning, prioritizing, and leading implementations within the Finance Technology domain. The ideal candidate will have deep expertise in applying project management skills, have strong Finance business knowledge to collaborate with a wide variety of stakeholders, and awareness of a Finance Warehouse / Lake. Position Responsibilities As a Senior Technical Program Manager within the Finance Technologies area, you will: Partner with the project sponsor, delivery team, and stakeholders to deliver quality solutions on time and within budget Create, maintain, and actively manage a detailed project schedule, change control process, and documentation Work with your Senior Director to address project dependencies, negotiate and estimate incremental delivery dates for milestones with the stakeholder community, and deliver projects on time Identify and raise appropriate project risks, in addition to presenting detailed and implementable solutions or alternatives Understand how requirements and design choices may impact systems across multiple areas Report on your team's progress for project and other key metrics, in addition to presenting detailed and implementable ideas for areas to further improve or influence product or project delivery Leverage your knowledge of operational and LEAN practices/principles to streamline organizational and team processes to increase efficiency and effectiveness Prior Financial Services Industry experience is required, with a solid understanding of the functional and technical aspects of ERP applications Coordinate project activities across multiple systems, departments, and teams. Leverage your knowledge of Finance Warehouses/Marts/Lake to support the build out of GEICO's Finance Data Warehouse to be the hub and store of Finance Data Engage in cross-functional collaboration throughout the entire software lifecycle. Leverage experience with various ERPs (e.g. PeopleSoft; Oracle EBS; Oracle Cloud; Hyperion; Workday; or SAP) to enhance existing applications or build new ones to support GEICO's Finance organization Leverage your deep understanding of Finance, Accounting, and Management Reporting to drive solutions to meet business requirements Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems Qualifications Very strong program/project management skills with proven experience coordinating projects across multiple teams, with successful project delivery at scale Deep Finance domain expertise to be able to interpret Finance requirements into system solutions Strong understanding of Accounting process; Management reporting philosophies; and cross-finance practices to ensure data, integrations, and solutions are well designed Detail and deadline oriented with effective organizational and analytic skills Strong critical thinking, problem solving, decision making, and analytical skills Experience or certification in LEAN principles and practices is an asset Outstanding time management skills and attention to detail Excellent verbal/written communication skills, including the ability to clearly document findings, proposals, issues, and status Ability to communicate and work directly with business leaders across Technology and Finance Experience in building out a Finance Data Warehouse is highly preferred Effective leadership qualities, ability to influence without direct management authority Experience managing conflict to achieve project goals Must be able to work both independently and in a team environment Proven ability to multi-task in a fast-paced environment Awareness of ADO is preferable Experience 12+ years of experience in managing large-scale Finance Systems projects PMI/PMP or Scrum certified Excellent understanding of Waterfall and Agile methodologies 10+ years in working with industry leading ERP solutions (e.g. PeopleSoft; Oracle EBS; Oracle Cloud; Hyperion; Workday; or SAP) 10+ years of experience in Product Management, Project Management, or equivalent Education Bachelor's Degree in Information Technology, Business Administration, or related field; or equivalent experience #LI-MK1 Annual Salary $130,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Company: Marsh McLennan Agency Description: Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 25, 2025

Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for the following benefits: Medical, Dental and Vision plans that include no-cost and low-cost plan options Immediate 401(k) matching and vesting Vehicle purchase and lease discounts plus monthly vehicle allowances Paid Volunteer Time Off with company donation to a charity of your choice Tuition reimbursement What to Expect The Product Development & Data Analytics Manager is responsible for independently leading key partnership management, department data intelligence, production forecasting, and performance monitoring to ensure HCA's products and programs maximize sales efficiency and meet company objectives. What You Will Do Lead Purchase Opportunity Program (POP) and Pass-Through programs, including 3rd party relationship management, cross-department collaboration, analytics, program maintenance, and identifying opportunities for growth and expansion. Report on program performance and key initiative progress to department and executive management. Lead data intelligence within Product Development. Act as liaison with Central Data Office (CDO), develop and maintain Tableau reporting, monitor key performance indicators, manage 3rd party data providers, streamline and automate recurring reports. Lead development of sales and production monthly forecasts and annual business plan. Produce executive reports to monitor progress toward the business plan. Complete ad-hoc analyses and reporting as requested by management and/or executives. What You Will Bring Minimum 5-7 years' related experience in data-oriented finance or analytics roles. Experience at a captive finance company or other automotive finance company a plus. Experience with programming skills in languages such as Python/SQL/SAS and object-oriented languages including Visual Basic. Bachelor's degree in business, computer science, data analytics, statistics or related field. MBA a plus but not required. Ability to extract, analyze and independently draw insight from data in enterprise databases. Strong programming skills in languages such as Python/SQL/SAS and object-oriented languages including Visual Basic. Strong Tableau/data visualization skills required. Proficient with Microsoft Office, with advanced Excel skills. Superior execution skills complemented by analytical, quantitative and problem-solving skills. Strong oral/written negotiation and communication skills. Exceptional attention to detail and quality. Must have the ability to challenge, when appropriate, existing practices. Ability to independently work in a dynamic environment with extended work hours. Work Environment Employees in this class are subject to extended periods of sitting, standing and walking, and using a computer. Work is performed in an office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here. This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 ("CCPA"). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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: At LPL Financial we consider it our mission to take care of our advisors so they can take care of their clients. Joining as Senior Data & Business Analyst, you will be responsible for building and maintaining the sustainable, scalable products and capabilities that support our advisors to deliver world-class services for their investors. Responsibilities: Develop technical and business requirements utilizing advanced problem-solving methodologies, encompassing both diagnostic and prognostic approaches. Collect, document, and evaluate business requirements pertaining to data and analytics. Engage with stakeholders to establish key performance indicators (KPIs), reporting necessities, and data-driven solutions. Convert business challenges into analytical frameworks and data solutions by acting as a bridge between Business and Technical teams. Draft Jira stories and obtain approval for the requirements. Construct complex SQL queries to analyze data and correlate it with business requirements. Gather, cleanse, and examine extensive datasets to identify trends, patterns, and business insights. Evaluate changes in upstream applications and implement necessary modifications in the data warehouse. Assess downstream effects and respond promptly. Investigate the impacts of changes in data granularity within source systems. Ensure the accuracy and integrity of data through thorough validation processes throughout the SDLC process. Collaborate with technical leads to develop technical Jira stories and necessary documentation. Guide the scrum team and stakeholders during story refinement sessions, ensuring that requirements align with LPL standards. Perform query and reporting analyses, communicating findings to stakeholders and the development team. Document mappings from data sources to targets and conduct root cause analyses on production issues. Collaborate with the project team to translate business requirements into actionable solutions. Work closely with the Product Owner to prioritize tasks and outline the product roadmap. Foster and maintain cross-functional relationships with business partners, the product management office, and technical collaborators. Regularly prepare and present status reports to all stakeholders and leadership. What are we looking for? We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement. Requirements: 5+ years of technical experience writing complex SQL queries and/or database development 5+ years of experience working as a business and data analyst in a mid-sized to large organization. 2+ years working on a scrum team and following agile methodology. Experience in crafting epic stories and tasks within JIRA. Core Competencies: Detail-oriented and critical thinker. Ability to engage in multiple initiatives simultaneously while demonstrating time management and organization. Comfortable working independently, adapting to shifting priorities, demands, and timelines in a fast-paced environment and demonstrating leadership skills. Keen attention to detail and complex problem-solving abilities from operational and technical perspectives Expert written and oral communication skills, strong interpersonal skills, and the ability to interact professionally with diverse groups, executives, managers, and subject matter experts. Experience with Data Warehousing a plus Preferences: Experience with AWS and DBT. Financial Services experience Snowflake experience #LI-Hybrid Pay Range: $83,400-$139,000/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) was founded on the principle that the firm should work for advisors and institutions, and not the other way around. Today, LPL is a leader in the markets we serve, serving more than 23,000 financial advisors, including advisors at approximately 1,000 institutions and at approximately 580 registered investment advisor ("RIA") firms nationwide. We are steadfast in our commitment to the advisor-mediated model and the belief that Americans deserve access to personalized guidance from a financial professional. 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. 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. EAC1.22.25

Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production. Purpose We are seeking a talented and experienced Software Engineer, Data to join our team. In this role, you will be responsible for spearheading the development and implementation of key system integrations that drive automation and improved efficiency across the organization. Success in this role will be measured by your ability to scope, build, and maintain data transformations, analytics, and flows between systems at Divergent. You will analyze business and technical problems and develop the appropriate framework to incorporate Master Data, and event driven and batch processing. In addition, as part of the Data Team, you will be involved with reporting, analyzing, and ensuring accurate data is available to the company's decision-makers. The Role You will work cross-functionally with Software Development, Enterprise Applications, Business Development, Program Management, Supply Chain, Planning, Engineering, Manufacturing, and Quality professionals to lead initiatives to meet enterprise established KPIs, provide strategic guidance on process improvement initiatives that support the achievement of strategic objectives defined in the company's Annual Operating Plans, promote speed of innovations and operational excellence, and develop strong business strategies to create synergies within organizations. This role will report to the Senior Manager, Data Integrations and Analytics. Scope, deliver, and maintain robust, scalable, and secure integrations with internal and external systems to enhance engineering, operational, and manufacturing efficiency. Collaborate with the Software Engineers, Data Engineers, DevOps Engineers and IT team to deliver the development of sustainable and scalable solution architecture, fault-tolerant integration applications and efficient & effective operation and monitoring solutions. Participate in regular cross-functional internal reviews with team leaders to ensure that program deliverables and milestones are well understood and schedules support customer requirements. Stay current with industry trends, emerging technologies, and best practices in system integrations and data usage in general. Able to quickly develop a holistic understanding of the entire DAPS business enterprise and its current workflows and systems, primarily where sales, demand planning, operations planning, and program management intersects with manufacturing, production, and quality. Basic Qualifications The ideal candidate is self-motivated, independent, detail-oriented, hands-on, and able to respond quickly in a fast-moving environment. We value leadership skills and those who conduct all activities with the highest of integrity. Ability to lawfully access information and technology that is subject to US export controls. Bachelor's degree in a related field such as Computer Science, Information Systems, or Industrial Engineering. 3+ years of experience in software engineering roles. Proven experience in designing, implementing, and securing RESTful, GraphQL, and SOAP APIs, including expertise in authentication (e.g., OAuth 2.0, JWT), authorization, input validation, and rate limiting. Demonstrated experience of application development using Python / JavaScript / JAVA / C or other similar programming languages. Demonstrated experience of the database modeling and SQL development for PostgreSQL or MS SQL Server. Demonstrated experience with CICD pipelines (i.e. Github, Gitlab), cloud environments (i.e. Azure, GCP, AWS) and docker / Kubernetes environments. Solid interpersonal and communication skills, a motivated self-starter who can scope projects, meet deadlines, and work well in cross-functional teams. Preferred Qualifications Demonstrated experience in a start-up, consulting, or similar high-growth, fast-paced, rapidly changing environment. Understanding of enterprise integration software (i.e. Boomi, MuleSoft, Workato). Understanding of data warehousing, ETL processes and experiences on software (i.e. Snowflake, Databricks, AWS Glue, Azure Data Factory). Experience interfacing with user groups (i.e. Manufacturing, Supply Chain, Finance) to understand system designs and the associated constraints. Experience working with Microsoft tools like Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, PowerBI, etc. Work Environment This is an on-site role located at our Torrance, CA headquarters. Must be available to work extended hours and/or weekends as needed to support critical milestones. XYZ description / XYZ: $xx - $zz Pay Range $116,600-$160,325 USD What We Offer: Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions. Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time. Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind. Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance. Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint. Equal Employment Opportunity Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. EEO Poster In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected. E-Verify: Right to Work Our company participates in E-Verify. E-Verify is a program that electronically confirms a candidate's eligibility to work in the United States after completing the Employment Eligibility Verification (Form I-9). The information provided on the Form I-9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees. Eligibility to Work Poster (English) | Eligibility to Work Poster (Spanish) Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO) Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records. No agencies, no solicitations, and no calls please.

Are you organized, accountable, and have always gone the extra mile to make sure things are done right? Imagine the impact those skills can have in ensuring the accuracy of millions of healthcare tests, every month. If you share our passion for strengthening physician care, please apply for the Specimen Accessioner position! LabCorp is seeking a dedicated and motivated individual to join their Specimen Processing and Accessioning team. The Specimen Accessioner will be responsible for performing clinical specimen accessioning, sample sorting and data entry in a fast-paced, high-throughput environment according to established standard operating procedures. Work Schedule: Mon-Fri 5pm-1:30am with rotating Saturdays Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here. Job Responsibilities: Prepare laboratory specimens for analysis and testing Unpack and route specimens to their respective staging areas Accurately identify and label specimens Pack and ship specimens to proper testing facilities Meet department activity and production goals Properly prepare and store excess specimen samples Data entry of patient information in an accurate and timely manner Resolve and document any problem specimens Requirements: High School Diploma or equivalent No relative experience required; 1-2+ years relative experience (lab/accessioning, production/manufacturing/warehouse environment) is a plus Previous medical or production experience is a plus Comfortable handling biological specimens Ability to accurately identify specimens Experience working in a team environment Strong data entry and organizational skills High level of attention to detail Proficient in MS Office Ability to lift up to 40lbs. Ability to pass a standardized color blind test If you're looking for a career that offers opportunities for growth, continual development, professional challenge and the chance to make a real difference, apply today! Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One. Job Description Summary The Customer Remediation Data Analyst in Consumer & Business Banking Risk will participate in projects that require research, data compilation and analysis to ensure compliance with the bank's Customer Remediation Policy. The analyst should have experience and a thorough understanding of bank systems/products, e.g. Demand Deposit Accounts (DDAs), CIS and MSP. Responsibilities will include, but are not limited to, the following: Customer Remediation Support: The Consumer & Business Banking (CBB) Risk Data Team supports issue and business line management with research, data analysis, documentation, and execution Credible Challenge: The CBB Risk Data Team accepts ownership of the data used within all CBB customer remediation events. This includes confirmation to front line systems for any data created internally or obtained from an external source and verification of any component required during validation. Maintain awareness of bank, regulatory, and industry changes and trends Responsibilities may also include contributing to CBB Risk Data Team projects or project implementation Perform other duties as assigned REQUIRED 6+ years of applicable experience Bachelor's degree, or equivalent work experience Preferred Skills/Experience SQL/SAS coding experience Six years of experience with bank systems/products Six years in a reporting, analytics, or technology environment Strong problem-solving, process facilitation, project management, and analytical skills Excellent interpersonal, written, and verbal communication skills Considerable knowledge of applicable laws, regulations, financial services, and regulatory trends that impact CBB Advanced understanding of CBB operations, products, services, systems, and associated risks/controls Advanced Excel computer skills and database knowledge Experience with SharePoint or TEAMS Comfortable working in a team environment with layers of required review/approval Ability to work in a fast-paced environment with large workloads This position offers a hybrid/flexible schedule which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days. If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours): Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.

At TruStage, we're on a mission to make a brighter financial future accessible to everyone. We put people first, and work hand in hand with employees and customers to create a diverse and inclusive environment. Passionate about building insurance, investment and technology solutions, we push the boundaries of what's possible. We need you to help us shape what's next. You'll be encouraged to share your experiences, ideas and skills to help others take control of their financial future. Join a team that has received numerous awards for being a top place to work: TruStage awards and recognition Job Purpose: This position leads the lifecycle of experience data capabilities across the enterprise. Interprets, understands, and solves business problems through an experience data lens. Develops, designs, and refines data capabilities that support multiple users across the enterprise. Leads strategy and execution of data capability, ensuring Ensures strong alignment with business partners and users leveraging data capabilities. Supports annual business planning, scope, and design of experience data capabilities. Oversees the strategy, development, and integration of data capabilities to ensure optimal business impact and alignment. Job Responsibilities: Uses expertise in data and technology to solve business problems. Collaborates with key stakeholders on data capability strategy and roadmap. Translates complex data relationships and models to business partners. Partners with business stakeholders to scope and refine data capabilities. Ensures experience data capability strategy, development, and integration approach are well-aligned with business objectives and goals to provide optimal business value. Works with data consultants and business partners to define, scope, and prioritize large, complex data capabilities. Leads execution teams through the development, refinement, and integration of enterprise data capabilities. Manages and provides current year milestones, investment, and progress of data initiatives reported to the Corporate Performance Office. Develops strategy, roadmap, and execution plan, for development of enterprise data capabilities. Ensures best practices and standards for data capabilities are followed. Drives and influences business integration plans and accessibility of data capabilities. Serves as the primary liaison to enterprise business partners during data capability development across experience data. Represents the business use cases and value throughout execution. Supports translation of business opportunities that can be solved, enhanced, and/or optimized through experience data capabilities Works with business leaders to assess and prioritize business needs that are supported by data capabilities. Manages the rapid delivery and coordination across a distributed execution model for data initiatives. The above statement of duties is not intended to be all inclusive and other duties will be assigned from time to time. Job Requirements: Master's degree in mathematics, statistics, finance, economics, or related field or equivalent. 10+ years of working in financial services or data-related industry in a leadership capacity. 8+ years of experience in data management and/or technology related work. Experience with data models, tools, and master data management. Working knowledge of the experience data ecosystem. Basic knowledge of SQL and/or Python programming language. Demonstrated ability to use business intelligence and data visualization tools. Deep understanding of advanced analytical models and data management practices. Ability to mentor and lead others, including cross-functional teams, without line-management authority. Demonstrated ability to work independently with business leaders. Extensive knowledge of data domains and data ecosystem. Demonstrated experience providing data-driven tools and solutions. Work Authorization/Sponsorship At this time, we're not considering applicants that need any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. If you're ready to help make a difference, apply today. Please provide your Work Experience and Education or attach a copy of your resume. Applications received without this information may be removed from consideration. Compensation may vary based on the job level, your geographic work location, position incentive plan and exemption status. Base Salary Range: $131,100.00 - $196,600.00 At TruStageTM, we believe a sound, inclusive benefits program is of vital importance, along with a flexible workplace that allows for work-life balance, career growth and retirement assistance. In addition to your base pay, your position may be eligible for an annual incentive (bonus) plan. Additional benefits available to eligible employees include medical, dental, vision, employee assistance program, life insurance, disability plans, parental leave, paid time off, 401k, and tuition reimbursement, just to name a few. Beyond pay and benefits, we also recognize that flexibility, including working in a place you prefer, is essential to caring for our employees. We will continue to strive to offer flexibility and invest in technology and other tools that will make hybrid working normal rather than an exception, so that when "life happens," you can focus on what's most important. Accommodation request TruStage is a place where everyone can bring their best self and thrive. If you need application or interview process accommodations, please contact the accessibility department.

At Goldbelly, we believe food brings people together. We connect people with their greatest culinary desires within and beyond local communities. We empower food makers of all sizes and deliver their passion to food-lovers around the country. As a Data Engineer, you will enhance how millions of customers connect with both novel and nostalgic food experiences on our platform. By partnering with business leaders and leveraging state-of-the-art data engineering and analytics resources, you will play a key role in transforming our data infrastructure and pipelines. Responsibilities Collaborate closely with full stack engineers, machine learning engineers, data analysts, and product managers to design and optimize data pipelines and ETL processes that drive business decisions. Design, develop, and maintain robust, scalable data systems to ensure seamless data integration and high availability. Improve our data infrastructure by optimizing ingestion, storage, and retrieval processes to support analytics, reporting, and machine learning applications. Help define and ensure data quality, governance, and security best practices are followed across all data workflows. Build and maintain data models that support business insights and operational reporting. Apply software engineering best practices, including CI/CD, testing, and version control, to data engineering workflows to ensure reliability and maintainability. Qualifications 3+ years of experience in data engineering and working on large-scale data systems. Expert level in SQL required, proficiency in Python preferred. Skilled in dimensional and normalized data modeling and transformation using tools like dbt Cloud. Strong understanding of cloud-based data infrastructure (AWS and Snowflake preferred). Experience with BI platforms like Metabase and Sigma Computing for data visualization/dashboard tools. Experience with data ingestion and ETL pipelines like Fivetran. Familiarity with event-driven architectures and real-time data streaming using tools like Confluent Kafka. Proficient in version control with Git and collaborative development on GitHub or GitLab. Salary range: $140,000 - $190,000 base salary range (dependent on experience level and interview performance) + equity (incentive stock options, vested over 4 years) + benefits.

Apply Job Type Full-time Description Inuvo, Inc. (NYSE American: INUV) is an Artificial Intelligence based technology company that designs, develops, and patents proprietary advertising solutions that it sells through agencies, directly to brands, and integrated into advertising platforms. Inuvo is seeking a Data Engineer with expertise in the AWS ecosystem to join our growing team. You will play a key role in designing, optimizing, and maintaining scalable data pipelines that support real-time analytics and machine learning workflows. This role involves working with a variety of third-party and internal data sources to enhance our media buying technologies. Salary range for this position: 100-140k. Responsibilities Design, develop, and maintain scalable, fault-tolerant data pipelines in AWS. Modernize and migrate legacy pipelines for improved reliability and performance. Work with structured and unstructured data to optimize ingestion, transformation, and storage. Collaborate with data scientists, analysts, and engineers to support AI-driven initiatives. Optimize data workflows for efficiency and cost-effectiveness. Requirements 2+ years of Java development for data-intensive applications. 2+ years of experience with batch & streaming data processing like Apache Spark. Hands-on experience with AWS services (S3, EMR). Proficiency in Apache Airflow for workflow orchestration and automation. Familiarity with SQL and NoSQL databases. Experience with Apache Kafka and Hadoop is a plus. Strong problem-solving skills and the ability to work independently. Startup experience is a plus. This is a local position in San Jose, CA. Must be able to work a hybrid in the office and remotely each week. US work authorization. What We Offer A collaborative and supportive work environment with opportunities to lead and innovate. Engagement in impactful projects with cutting-edge technologies. Opportunities for continuous learning and career growth. Inuvo Benefits Competitive health benefits, including medical, vision, dental, and various voluntary benefits. Flexible vacation, holiday, and sick leave. 401(k) Plan with company matching. Offer a hybrid of in-office and remote work. Inuvo is an Equal Opportunity Employer and seeks to foster community, inclusion, and diversity within the organization. We encourage all qualified candidates, regardless of racial, religious, sexual, or gender identity, to apply.

Revinate is an innovative hospitality tech company that is revolutionizing how customers manage their operations and enhance the guest experience. Our solutions leverage advanced technology, data analytics, and automation to improve efficiency and drive customer happiness in the hospitality industry. Role Overview Are you a seasoned, detail-oriented technical specialist eager to lead and drive integrations between Revinate and the diverse applications used by our valued customers? We're looking for a skilled and experienced professional to join our Data Integrations team. This team plays a crucial role in managing the configuration and maintenance of integrations with our data partners and customers, monitoring data ingestion, and ensuring the quality control of reservation and guest data from thousands of hotels worldwide. In this role, you will be instrumental in designing, developing, and maintaining the ingestion side of our data integration pipelines, ensuring the seamless flow of information between Revinate, our partners and customers. You will develop easy to use data integration tools for use by Revinate’s customer success team. You will work closely with data architects, data scientists, and business stakeholders to understand data requirements and translate them into efficient and reliable data solutions. What You'll Do Design, develop, implement, and maintain robust and scalable data integration solutions using various ETL/ELT tools and techniques. Extract data from diverse sources (databases, APIs, flat files, cloud platforms, SFTP etc.) and transform it into a format suitable for the Revinate CDP platform. Help load integrated data into Revinate’s Customer Data Platform (CDP), data warehouses, data lakes, and other target systems. Develop and optimize SQL queries, stored procedures, and other database objects for data manipulation and extraction. Build easy to use transformation capabilities for use by Customer success teamImplement data quality checks and validation processes to ensure accuracy and consistency of integrated data. Monitor and troubleshoot data integration jobs, identifying and resolving issues in a timely manner. Collaborate with data architects to define data models, schemas, and data governance standards. Document data integration processes, data flows, and technical specifications. Stay up-to-date with emerging data integration technologies, tools, and best practices. Participate in code reviews and contribute to improving our data engineering processes. Develop and update internal documentation on data integrations, customer projects, and troubleshooting practices. Serve as a technical point of contact, collaborating with cross-functional teams to align on integration and support objectives. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related quantitative field. 3-5 years of total Software engineering experience, with 3+ years in ETL/ELT development or data engineering. Experience in writing SQL queries Proficiency with any relational Database e.g. MySQL, Postgres. Experience in building ETl/ELT pipelines with open source frameworks like Spark or any ETL tool. Strong programming skills in Java or Scala. Experience working in cloud platforms and their data services (e.g., AWS S3, Lambda, EC2). Experience with version control systems (e.g., Git) and CI/CD pipelines. Working understanding of REST APIs and data formats like JSON, XML. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Experience with big data technologies (e.g., Spark, Hadoop, Kafka). Understanding of cloud native data integration with major Lakehouses (e.g. AWS, GCP, Azure, Snowflake, Databricks). Experience with containerization technologies (e.g., Docker, Kubernetes). Experience in building REST API using Springboot or any other framework. Benefits Health insurance-employee premium paid 100% by Revinate Dental insurance-employee and dependents’ premium paid 100% by Revinate Vision insurance-employee and dependents’ premium paid 100% by Revinate 401(k) with employer match Short & Long Term Disability insurance Life insurance Paid Flex time off Monthly work from home stipend Telehealth access Employee Assistance Program (EAP) This salary range may be inclusive of several career levels at Revinate and will be narrowed during the interview process based on a number of factors, including (but not limited to) the candidate’s experience, qualifications and location. Revinate values the flexibility of a remote workforce and the benefits of localized hiring. We focus on specific cities to foster local communities and enhance team cohesion, allowing employees to collaborate, attend local events, and build a strong sense of community and company culture. Candidates must be located in the city listed in the job application. Thank you! Revinate is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complementary. Important Security Alert We have been made aware of fraudulent activities involving individuals impersonating our HR team and offering fake job opportunities. Please be vigilant and ensure your safety by verifying all job offers. For Authentic Opportunities: Only refer to our official careers page on our company website. Your security is our priority. If you encounter any suspicious activity, please report it immediately. Stay safe and secure! You can confirm or inquire with any questions by reaching out to recruiting@revinate.com #LI-Remote #LI-AE1

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 1 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $63,000 - $140,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Empath Health is currently seeking a Data Engineer to Transform Data into Impact while supporting our Mission! The Data Engineer plays a key role in building, optimizing, and maintaining data systems and infrastructure to support data-driven decision-making across the organization. This position focuses on developing scalable data models, automating data pipelines, and ensuring data quality and integrity. The role requires proficiency in SQL, Python, and data modeling practices, as well as close collaboration with data analysts, scientists, and other IT staff. JOB DUTIES/RESPONSIBILITIES: Design, develop, and maintain robust and scalable data pipelines to support analytics and business intelligence needs. Build and optimize data models for reporting and operational use, ensuring high performance and scalability. Write efficient and reusable SQL and Python code to automate data integration, transformation, and validation tasks. Collaborate with analysts, data scientists, and stakeholders to understand data requirements and translate them into technical solutions. Maintain and monitor data architecture to ensure data accuracy, availability, and security. Implement and manage ETL/ELT workflows using modern frameworks and tools. Create and maintain comprehensive documentation for data systems, pipelines, and data governance policies. Participate in the evaluation and selection of data tools and technologies. Monitor pipeline performance and troubleshoot issues as needed to ensure timely data availability. Collaborate with IT teams to integrate systems and manage access controls and data privacy. Contribute to the development and enforcement of best practices in data engineering, coding standards, and workflow management. Train and support colleagues on data engineering concepts and tools when necessary. Assist in building out data quality and validation frameworks. Perform other duties as assigned by the Data Analytics Director or equivalent. POSITION QUALIFICATIONS/REQUIREMENTS: Proficiency in SQL and Python for data manipulation and automation. Experience with cloud platforms (e.g., AWS, Azure, or GCP) and services such as S3, Redshift, BigQuery, or Azure Data Lake. Specifically Azure. Knowledge of modern data modeling techniques (star schema, snowflake schema, etc.). Emphasis here as it will be a primary job responsibility. Familiarity with ETL/ELT tools and frameworks (e.g., Airflow, dbt, Talend). Experience with relational and non-relational databases. Understanding of DevOps and CI/CD pipelines for data workflows. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to manage multiple priorities in a dynamic work environment. Collaborative mindset with a commitment to continuous improvement. Empath Health values diversity as it strengthens our community and care. We embrace the diversity of cultures, thoughts, beliefs and traditions of our employees, volunteers and people we are honored to serve across our network. Our diverse staff reflects our community and each day, we work to be respectful, sensitive and competent with each other and those in our care. In every journey, we are dedicated to achieving comfort, dignity and exceptional care. Those of all backgrounds are welcome and encouraged to apply with us or seek our care and services. Our commitment to patient, client, staff and volunteer safety is a cornerstone of a High Reliability Organization with a focus on zero harm. Participation in the seasonal influenza program is a condition of employment and a requirement for all Empath Health employees. Providing compassionate, full life care is an honor we take seriously at Empath Health. Join our team and make a positive impact in the community!

Senior Data Engineer, Scala At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day! Magnite conducts 400+ billion ad request auctions daily carrying $450+ million of revenue annually. To stand out among competitors, Magnite strategically focuses on being the most efficient, highest scale independent exchange. The team: The Streaming Organization's Data Engineering team owns the applications and infrastructure that make up the Streaming Org's data pipeline, handling ~40 billion events per day at an average of 400-500 thousand per second. This data underpins the Streaming business - including client reporting, internal data science, account managers, and product + business teams - and as such we need to build systems that remain scalable and efficient at this volume of data while also ensuring data consistency and reliability. We value communication, discussion, and sharing of ideas to come to the best technical solutions to our large-scale data challenges. We are looking for people who want to get things done and value open collaboration (including constructive feedback when brainstorming). Our end-to-end ownership of the data world includes both typical data-engineering type problems (think Spark pipelines, ETL processing, etc) and more general software-engineering tech as well (think Java applications, API design, etc). Location: This role can be based in any of our six office locations within the US; the hybrid schedule globally is two days worked remotely (Monday and Friday) and three days on-site (Tuesday, Wednesday, and Thursday). This role can be remote in the following states: AZ, CA, CO, FL, GA, ID, IL, MA, MI, MT, NE, NJ, NY, NC, OK, OR, PA, SC, TX, UT, VA. In this role you will: Get to work on handling internet-scale data problems Help architect and build systems to process our data volume to empower all consumers Join in on full end-to-end ownership of the team's data pipeline and related systems for data delivery Be a part of and promote our culture of collaboration and mentorship Typical challenges we face in this role include: Highly-scalable infrastructure: Our traffic has patterns with peak- and off-peak times and seasonal shifts, and our data infrastructure needs to be able to respond accordingly Cost optimization: Improving profit margins by lowering the infrastructure cost basis through building efficient systems Technical architecture considerations given various SLAs for data delivery We're looking for someone: With 4+ years of software development experience with a BS/MS Computer Science or equivalent work experience Who wants to take ownership. We are responsible for the entire software development lifecycle, from requirements gathering to production support To engage in critical and creative thinking. We expect engineers to present and discuss tradeoffs to solve the problems we face With either existing experience designing and building systems that work with large-scale data volumes and data ingestion systems at scale in a cloud-first setting, OR established technical excellence with a desire to learn and crush the data engineering world Our current tech stack: Java or Scala for core application development Spark (batch + streaming) for data pipeline development, currently based on Databricks Terraform, Docker, Jenkins for CI/CD / infra / application deployment Airflow for job orchestration AWS-based cloud infrastructure including RDS, EC2, S3, Kinesis, ECS Comprehensive Perks and Benefits: Comprehensive Healthcare Coverage for You and Your Family from Day One Generous Time Off Holiday Breaks, Summer Fridays and Quarterly Wellness Days Equity and Employee Stock Purchase Plan Family-Focused Benefits and Parental Leave 401k Retirement Savings Plan with Employer Match Disability and Life Insurance Cell Phone Subsidy Fitness and Wellness Reimbursement Company Culture: Community Service and Volunteer Events Company-Matched Charitable Contributions Wellness Coach and Mental Health Support Magnite Invests in You: Career Development Initiatives and a Career Growth Framework Culture and Inclusion Programs Bonusly Peer-to-Peer Recognition Program A Little More About Us The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC. The base salary range for this position, across all United States geographies, is $150,000 - $170,000 per year. The upper portion of the salary range is typically reserved for existing employees who demonstrate strong performance over time. Only candidates in the following states will be eligible for employment: AZ, CA, CO, FL, GA, ID, IL, MA, MI, MT, NE, NJ, NY, NC, OK, OR, PA, SC, TX, UT, VA. Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class. Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite's local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change. Want to learn more about us? Check out our blog for Magnite announcements and Ad Tech industry news!

HYBRID IN STOUGHTON, MA Position Overview: Shields Health Solutions is seeking a Data Analyst to join the Financial Analytics team, reporting to the Manager of Financial Analytics. This position involves developing and maintaining dashboards and reporting through Tableau and Excel to provide insight into the organization's performance. Along with this, the Data Analyst will partner directly with department heads to perform weekly and monthly analyses along with ad hoc reporting to identify organization insight. They will proactively recommend reporting, process, and infrastructure improvements. They will automate business and reporting processes and partner with internal teams to improve workflow. This role offers visibility across the corporate team and interaction with key business leaders to support critical business processes, information generation, and insights. The ideal candidate will have extensive experience working with complex data, excellent communication skills, and possess advanced-level Tableau and Excel skills. Key Responsibilities Perform weekly and monthly reporting updates, ensuring data quality and availability Be responsible for the development and maintenance of Tableau dashboards and Excel reports Partner with functional leaders to uncover and capture opportunities to improve organizational efficiency Proactively identify and communicate new ideas or enhancements to existing reports, metrics, and analyses to measure and track business performance Assist in developing automated reporting processes to streamline analysis Become a subject matter expert and make recommendations to impact tracking of information necessary to drive business results Develop and maintain technical documentation to describe and memorialize information with respect to systems, reporting or data Troubleshoot reporting and process issues, test and work with business to resolve any issues Support team & organizational goals as needed Education & Experience 2+ years of experience as data or business intelligence analyst, developer, or engineer 2+ years of developing dashboard, reporting and data processes using Tableau and Tableau Prep Experience in communicating insight and technical processes to non-technical and executive audiences Advanced Excel and PowerPoint skills Experience in owning reporting products and driving development projects Must be a highly motivated, results-driven professional with an entrepreneurial attitude who can thrive in a team-oriented environment Growth-oriented and positive, problem-solving mindset Highly analytical with strong attention to detail; methodical thinker Effective at multi-tasking; someone who enjoys and thrives wearing multiple hats at once, seeks exposure to different perspectives, and learning new skills Customer service oriented, flexible and adaptable with proven ability to solve problems in a collaborative manner with strong ability to influence Experience with Python and R a plus Education: Bachelor's Degree in STEM, finance, business administration, or computer science required Advanced degree a plus