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Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director 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. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce 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 (BQ) Bachelor's Degree Minimum Year(s) of Experience (BQ) 10 year(s) Degree Preferred Master's Degree Preferred Knowledge/Skills Demonstrates thought leader-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 Working 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 staff through coaching, providing feedback, and guiding work performance. Demonstrates thought leader-level 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: $155,000 - $410,000, 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

About CareScout Services: Join us on a mission to simplify and dignify the aging experience. We are the children, siblings, neighbors, and friends of those navigating the fragmented and confusing system of long-term care. Our team is ferociously curious and relentless in our pursuit of a better system – and we are deeply committed to a sense of belonging for all, in all phases of life. We’re creating a new experience for care seekers and their families, bringing together long-term care options, resources, education, and human support into one place. We work hard, we have fun, we care about each other, and we share the mission. If this sounds like a place where you could thrive, join us! CareScout is a division of Genworth Financial, Inc, a Fortune 500 provider of products, services and solutions that help families address the financial challenges of aging. Job Summary: The Director of Data Engineering will lead the development and execution of our data strategy, with a strong focus on building and leveraging a robust data lake on the Azure platform. This role will be instrumental in enabling advanced analytics, driving marketing integrations, and fostering a data-driven culture. The ideal candidate will have deep technical expertise in Data Engineering and a proven track record of delivering impactful data solutions that enhance marketing effectiveness and overall business performance. Responsibilities: Strategic Data Leadership: Develop and implement a comprehensive data strategy aligned with business objectives Identify opportunities to leverage data for competitive advantage, particularly in marketing and customer engagement. Provide thought leadership on data trends, technologies, and best practices.. Develop and implement an enterprise data model & data dictionary to standardize our reporting needs. Data Lake Development and Management: Design, build, and maintain a scalable and secure data lake on Azure. Design and build scalable ETL pipelines, establish data ingestion, transformation, and storage patterns. Architect data warehouse schema (Star, Snowflake, Galaxy) Optimize data lake performance and ensure data quality and integrity. Establish balancing and reconciliation queries to ensure Data warehouse is stable after failures, numbers and records match to expectations to ensure quality, consistency and availability Enabling the business to leverage Artificial Intelligence and Machine Learning: Work with the product managers, and the business stakeholders to identify opportunities to use AI/ML solutions. Stay abreast on trends in AI/ML Ensure data availability and quality Establish data governance for ML – Define & Implement policies and procedures that ensure quality, consistency and security for ML models Manage data pipelines for ML Address data privacy and ethical considerations Collaborate with data scientists and engineers Establish ML model lifecycle management – develop process for model development, deployment, monitoring and maintenance. Enable model operationalization (MLOps)- adopt MLOps practices to manage process Measure and monitor ML model performance: Establish metrics and processes for measuring and monitoring the performance of ML models in production Marketing Data Integration and Activation: Lead the integration of marketing data from various sources (CRM, marketing automation platforms, and other operational systems) into the data lake. Enable the use of data lake data for targeted marketing campaigns, customer segmentation, and personalized experiences. Collaborate with marketing teams to develop and implement data-driven marketing strategies. Oversee the activation of data to marketing platforms, and ensure a smooth flow of information. Data Governance and Compliance: Establish and enforce data governance policies and procedures, ensuring compliance with relevant data privacy regulations. Implement data security measures to protect sensitive data within the Azure environment. Define and manage data access controls and permissions. Data Analytics and Insights: Partner with analytics teams to leverage the data lake for advanced analytics, reporting, and business intelligence. Promote the use of data analytics to drive informed decision-making across the organization. Project Execution Develop project plans and estimates Develop milestones, and identify risks Establish project control and communicate progress, risks and mitigation plans Team Leadership and Collaboration: Build and lead a high-performing data strategy team with expertise in Azure data services. Hire coach and mentor staff and contracting team members Collaborate with cross-functional teams, including product management, marketing, operations, sales, and analytics, to achieve data-related objectives. Manage relationships with vendors. Plan and manage budget Qualifications: Bachelor's degree in computer science, data science, or a related field (Master's degree preferred). Minimum of 10 years of experience in data strategy, data engineering, or a related field, with a focus on Azure data services. Proven experience building and managing data lakes on the Azure platform. Strong expertise in Data Lake technologies such as Databricks or Azure Synapse, or Snowflake. Experience with marketing data integration and activation. Strong understanding of data governance, data security, and compliance principles. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem-solving abilities. Experience in managing globally distributed teams of data engineers as staff and contractors Desired Skills: Experience with Databricks or Snowflake or Azure Syanpse/Fabric Experience in Extract Transform and Load (ETL) tools like Fivetran or others like Azure Data Factory, AWS Glue, Apache airflow Hands-on experience in architecting data warehouse using Star, Snowflake or Galaxy schema Proficiency with at least one cloud platform (Azure, AWS, or GCP) Experience in data security Strong understanding of relational databases (MySQL, Postgress, SQL Server, MongoDB) Advanced SQL skills Experience in data dictionary, data quality and lineage tools Experience in machine learning frameworks: Pytorch, MLFlow, and or Tensorflow Experience with marketing automation platforms (e.g., Iterable, Dynamic 360). Experience with CRM platforms (e.g. Dynamics 365). Experience with API integrations. Experience with data visualization tools like Power BI or Tableau Experience with Data visualizations tools such as Power BI. Understanding of ML concepts and algorithms (supervised learning, unsupervised learning, deep learning) Understanding of ML Ops best practices Understanding of API concepts with experience in integrating data from diverse sources Experience in Metadata Management, and Data Modeling For candidates based in the New York City Metropolitan area, the base salary pay range for this role starts at a minimum rate of $190,000 up to the maximum of $240,000. An employee’s pay position within the base salary pay range will be based on several factors at the time of this job posting including but not limited to geographic location, experience, and qualifications. In addition to your base salary, you will also be eligible to participate in an incentive plan. The incentive plan is based on performance and the target earning opportunity is 20% of your base compensation. The final determination on base pay for this position will be based on multiple factors to ensure pay equity within the organization. WHY CARESCOUT SERVICES? • We have a real impact on the lives of the people we serve • We work on challenging and rewarding projects • We give back to the communities where we live • We offer competitive benefits including: o Medical, Dental, Vision, Flexible Spending Account options beginning your first day o Generous Choice Time Off your first full year o 12 Paid Holidays o 40 hours of volunteer time off o 401k Account with matching contributions o Tuition Reimbursement and Student Loan Repayment o Paid Family Leave o Child Care Subsidy Program

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Home Depot manages a wide and varied set of media and marketing data. The Product Operations Analyst will manage the daily jobs to receive data from external systems and that enable users to consume The Home Depot's media data. The Product Operations Analyst will also be responsible for triaging questions from data consumers to either data owners or technology teams to investigate if the onboarding or syndicating services needs review. This role will be a trusted resource to teams that need media data for high-value reports, insights and ad products. This role is an excellent entry-point to Product Management, Data Management, and Marketing/Retail Media at The Home Depot, with the opportunity to grow within many different parts of the organization. Key Responsibilities: Utilize Web analysis tools, customer feedback, and primary/secondary research to develop an integrated view of the customer, key trends, and a view of how best we can serve customers online. Strategic ability to envision new features and functions that meet business needs in a way that is both feasible and practical. Stay aware of online customer experience best practices and translate into insights specific to Home Depot eBusiness. Investigate specific areas of the customer experience and develop fact-based recommendations on how to improve our online experience and/or better align results with business objectives. Manage and execute marketing and media strategy, including but not limited to, e-mail marketing, search engine marketing, special promotions, and affiliate marketing, in order to maximize business and marketing objectives. Act as daily project manager for assigned marketing/media projects and each phase of the online marketing/media process: strategy, planning, launch, optimization, and measurement/analysis. Manage relationships with third-party vendors and contractors including vendor solicitations. Stay up-to-date and advise of the latest trends in interactive marketing/media and develop Point of View documents/presentations on new trends or special opportunities. Direct Manager/Direct Reports: Reports to Senior Manager. This position has no direct reports. Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Overnight travel less than 10% Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Bachelor's degree preferred. Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Familiar with the Internet, web marketing, and online user experience concepts, practices, business models, and programs. Consulting/advisory skills Able to work with internal/external clients to develop and execute programs that meet business objectives. Strong analytic skills including but not limited to financial analysis and budget management. Capacity to understand technical products and concepts. Experience with Web analytics software.

Book Keeping/Data Entry THE JOB: *Recurring monthly bookkeeping. *General Accounting & Data Entry. *Bank reconciliations. *Credit card account reconciliations. REQUIREMENTS: Excel. Good math ability Good organizational skills Good communication skills Pie Five-Fuzzy's-Dickey's is independently owned and operated by a franchisee. Your application will go directly to the franchisee, and all hiring decisions will be made by the management of that franchise. All inquiries about employment at this franchise should be made directly to the franchisee, and not to Pie Five Corporate.

Enjoy a career, packaged with care, whilst helping protect food, people and the planet We are a key global provider of sustainable packaging solutions. We’re on a mission to make all packaging recyclable, reusable, or compostable. Every day, we ensure the hygiene and safety of food and drink for people around the world. We are Huhtamaki. You could be part of our vision. Because it’s our talented people that make it happen. Our people on the shop floor producing innovative, sustainable products. Our people in our offices delivering excellence for our customers every day. It’s every one of us working together. We offer a place where you can feel safe, be supported, and make an impact so we can all focus on the future together. Job Summary The Data Governance and Analytics Senior Manager is responsible for ensuring there is data quality, security and compliance while also data availability to drive insights and support decision-making for the North America segment of Huhtamaki. This senior-level position demands a comprehensive understanding of business processes, data management, and project management skills and requires collaboration with various functions within the segment, including commercial, finance, sourcing, manufacturing, and more. The role involves establishing governance and leading teams to manage process and data requirements, supporting Global Process Owners (GPOs) & Master Data Management (MDM) team, and driving change management activities related to data initiatives.​ This role reports to the SVP, Finance/IT for North America with strong collaboration and dotted line reporting with the Global Data & Analytics team. Key Responsibilities​ Data Quality Monitoring and Improvement: ​ Actively monitor global process and data quality KPIs.​ Prioritize initiatives to address data quality gaps and improvements.​ Ensure the segment leadership team is informed of current data quality issues and improvement strategies.​ Actively monitor data quality and address any deviations from established standards.​ Data Analytics: ​ Support the data analysis and decision making needs of the segment by ensuring data is available and managed effectively in alignment with business needs. Interface with the segment functional leadership teams to understand decision making requirements, connect data to those requirements and address any gaps. Team and Process Management: ​ Lead a team of Master Data Management (MDM) stewards to support data quality efforts and processes.​ Collaborate within the segment, along with the technical data analysts, to manage process and data requirements to effectively support business decision making Implement global processes and data standards within the segment Ensure the implementation of data standards and MDM processes within the segment.​ Project and Change Management: ​ Support GPOs and the global team by coordinating with the segment for necessary inputs as part of projects.​ Drive change management activities in the segment to support data initiatives and promote adoption.​ Share best practices across segments to enhance the Huhtamaki operating model.​ Process Design and Documentation: ​ Assist in defining and documenting process designs and data standards for the segment.​ Ensure a feedback loop for continuous improvement in processes and standards for the segment.​ Decision rights and Accountabilities Authority to prioritize initiatives aimed at addressing data quality gaps and improvements within the segment.​ Decision-making authority to establish and lead teams to manage process and data requirements effectively.​ Authority to ensure the implementation of global processes and data standards within the segment.​ Ability to drive change management activities and promote adoption of data initiatives within the segment.​ Accountable for initially driving data quality improvement initiatives and subsequently leading data projects within the segment.​ Responsible for ensuring the implementation of data standards and Master Data Management (MDM) processes within the segment.​ Accountable for establishing a feedback loop for continuous improvement in processes and standards.​ Accountable for supporting Global Process Owners (GPOs) and the global team in coordinating with the segment for necessary inputs as part of projects. Job Qualifications Bachelor's degree in Business Administration, Information Technology, Data Management, or a related field; a Master's degree or MBA is preferred.​ 7-10 years of experience in data management, business process management, or a related field, with specific experience in the packaging industry highly desirable.​ Excellent leadership skills for establishing and leading virtual teams; strong communication skills for effective collaboration with various stakeholders.​ Strong understanding of data management principles and experience with data analysis tools; proven ability to manage complex projects and lead cross-functional teams. Join us. Help protect food, people and the planet .

As a Senior Architect in Credera’s Data capability group, you will lead teams in implementing modern data architecture, data engineering pipelines, and advanced analytical solutions. Our projects range from designing and implementing the latest data platform approaches (i.e. Lakehouse, DataOps, Data Mesh) using best practices and cloud solutions, building scalable data and ML pipelines, democratizing data through modern governance approaches, and delivering data products using advanced machine learning, visualization, and integration approaches. You will act as the primary architect and technical lead on projects to scope and estimate work streams, architect and model technical solutions to meet business requirements, serve as a technical expert in client communications, and mentor junior project team members. On a typical day, you might expect to participate in design sessions, build data structures for an enterprise data lake or statistical models for a machine learning algorithm, coach junior resources, and manage technical backlogs and release management tools. Additionally, you will seek out new business development opportunities at existing and new clients. WHO YOU ARE: You have a minimum of 8+ years of technical, hands-on experience building, optimizing, and implementing data pipelines and architecture Experience leading teams to wrangle, explore, and analyze data to answer specific business questions and identify opportunities for improvement You are a highly driven professional and enjoy serving in a fast-paced, dynamic client-facing role where delivering solutions to exceed high expectations is a measure of success You have a passion for leading teams and providing both formal and informal mentorship You have strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level You have a deep understanding of data governance and data privacy best practices You incorporate the usage of AI tooling, efficiencies, and code assistance tooling in your everyday workflows You have a degree in Computer Science, Computer Engineering, Engineering, Mathematics, Management Information Systems or a related field of study The ideal candidate will have recent technical knowledge of the following: Programming languages (e.g. Python, Java, C++, Scala, etc.) SQL and NoSQL databases (MySQL, DynamoDB, CosmosDB, Cassandra, MongoDB, etc.) Data pipeline and workflow management tools (Airflow, Dagster, AWS Step Functions, Azure Data Factory, etc.) Stream-processing systems (e.g. Storm, Spark-Streaming, Pulsar, Flink, etc.) Data Warehouse design (Databricks, Snowflake, Delta Lake, Lake formation, Iceberg) MLOps platforms (Sagemaker, Azure ML, Vertex.ai, MLFlow) Container Orchestration (e.g. Kubernetes, Docker Swarm, etc.) Metadata management tools (Collibra, Atlas, DataHub, etc.) Experience with the data platform components on one or more of the following cloud service providers: AWS Google Cloud Platform Azure Basic Qualifications Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success Contribute in a team-oriented environment Prioritize multiple tasks in order to consistently meet deadlines Creatively solve problems in an analytical environment Adapt to new environments, people, technologies and processes Excel in leadership, communication, and interpersonal skills Establish strong work relationships with clients and team members Generate ideas and understand different points of view

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking a highly skilled Data Engineer having experience with ETL, Spark hadoop and Funds background. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Jersey City, NJ is $130k - $140k/year & benefits (see below). The Role Responsibilities: Analysing data sets, designing, and coding stable and scalable data ingestion workflows also integrating into existing workflows Working with team members and stakeholders to clarify requirements and provide the appropriate ETL solution. Hands-on experience for various data sourcing in Hadoop also GCP. Ensuring new code is tested both at unit level and system level design develop and peer review new code and functionality. Operate as a team member of an agile scrum team. Root cause analysis skills to identify bugs and issues for failures. Support Prod support and release management teams in their tasks. Requirements: ETL, spark hadoop as tech skills but needs someone from Funds background . Proficient in Hadoop, Python, Spark, SQL Unix and Hive Basic understanding of on Prem and GCP data security Hands on development experience on large ETL/ big data systems .GCP being a big plus Hands on experience on cloud build, artifact registry ,cloud DNS ,cloud load balancing etc. Hands on experience on Data flow, Cloud composer, Cloud storage ,Data proc etc. Basic understanding of data quality dimensions like Consistency, Completeness, Accuracy, Lineage etc. Preferred, but not required: Experience with GCP. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S​ YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law . Candidate Application Notice

Product Data Management Engineer (Lead or Senior) Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking a Lead or Senior Product Data Management Engineer ( Configuration & Data Management) to support the Systems Engineering Integration & Test (SEIT) and Mission Systems teams on a DOD propriety program in Albuquerque, NM. The successful candidate will be responsible for overseeing the implementation of overall Configuration/Data Management (CM/DM) on the program as well as leading the development, management and compliance verification of process and product baseline of highly integrated complex products. Our team is currently hiring for a broad range of experience levels including lead and senior level engineers. Position Responsibilities: Leads the implementation of Configuration and Data Management standards, processes, systems and tools. Defines and allocates Configuration and Data Management requirements for product hardware, software and engineering design data systems throughout the product lifecycle. Assures the integration of product elements; analyzes and resolves complex issues with engineering product structure. Assigns and maintain product and document identification. Supports change boards and documentation requests efforts such as Engineering Change Proposals (ECP), Requests for Variance (RFV), Engineering Review Boards (ERB), Change Documents/Change Requests (CD/CRs), program Change Control Boards (CCB), perform configuration audits, generate configuration status reports, and others. Collaborates with and advises fellow configuration management engineers on configuration management principles and job practices. Coordinates across the program to assure that CM/DM responsibilities are understood and deliveries are achieved in accordance with program requirements. Supports the change process so that only approved and validated changes are incorporated into product documents and related hardware/software. Controls baseline and prepare material for distribution and release. Responsible for defining and managing the configuration status accounting (CSA) activity. Tracks all problems and changes in product documents and hardware/software and reports changes and current configuration. Ensures proper archiving and audibility of product releases. Managing input and retrieval of data in the configuration management repository. Interfaces with Supplier management to assure CM/DM Supplier Statement of Work (SSOW) and Supplier Data Requirements List (SDRL) requirements are properly flowed to Suppliers. Coordinates the integration of product elements, analyzes and resolves issues with engineering product structure. Serves as the customer focal for CM/DM. Works under minimal direction. Basic Qualifications (Required Skills/Experience) Bachelor of Science degree from an accredited course of study in engineering, engineering technology (including manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 9+ years related work experience or an equivalent combination of technical education and experience Proficient in Product Lifecycle Management (PLM) tools (PTC Windchill, ENOVIA, Teamcenter, etc.) Preferred Qualifications (Desired Skills/Experience) Active Top Secret Clearance Experience with DOORS, Dassault MSOSA, Siemens Teamcenter, and Gitlab Knowledge of EIA-649-1 and/or MIL-HBK-61 Experience with complex electro-optical and/or optomechanical systems Ability to accomplish tasks through formal channels and informal networks Excellent organizational, spoken and written communication across organizations. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . At Boeing, we strive to deliver a Total Rewards package that will attract, engage, and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and several programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for lead (level 4): $113,050 - $152,950 Summary pay range for senior (level 5): $141,100 - $190,900 Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: This position offers relocation based on candidate eligibility. Export Control Requirement: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

Description Job Profile Summary We are seeking an experienced Metadata Governance Lead to join our team as an individual contributor. This role will be focused on the implementation, curation and governance of our enterprise data catalog in Alation, ensuring that metadata management processes are effectively established and maintained across the organization. The Metadata Governance Lead will play a critical role in enhancing data discoverability, usability, and compliance with data governance policies. The Data Governance Center of Excellence (COE) is responsible for establishing and maintaining high standards for data management across the organization. This includes defining a clear vision and strategy aligned with organizational goals, securing top management commitment, and engaging stakeholders. The COE develops and enforces data governance policies, appoints data stewards, and implements processes to monitor and improve metadata quality. Additionally, it provides training to foster a data-driven culture and continuously refines practices to adapt to changing business needs. By ensuring effective data management and governance frameworks, the COE supports better decision-making and improved business outcomes. Duties and Responsibilities: Enterprise Data Catalog Implementation: Assist in the implementation of the enterprise data catalog, ensuring it meets the needs of various business units and aligns with organizational goals. Product Ownership: Assist the product owner of the catalog in prioritizing features and enhancements based on business value and user feedback. Metadata Management: Develop and maintain metadata management processes, including metadata collection, documentation, and standardization. Governance Processes: Establish and enforce governance processes for metadata management, ensuring compliance with data governance policies and regulatory requirements. Business Requirements Gathering: Lead the collection and documentation of business requirements to ensure the data catalog aligns with user needs and the organization’s strategic objectives and priorities. Data Catalog Metamodel Ownership: Own and manage the metamodel, ensuring it accurately represents the structure and relationships of metadata within the organization. Data Catalog Curation: Curate the data catalog to ensure it is comprehensive, up-to-date, and accurately reflects the organization's data assets. Collaboration: Work closely with data stewards, data owners, and other stakeholders to ensure accurate and comprehensive metadata documentation. Data Quality: Implement and monitor data quality metrics related to metadata, ensuring high standards of data accuracy and consistency. Training and Support: Provide training and support to users of the data catalog, promoting best practices for metadata management and data governance. Continuous Improvement: Regularly assess and refine metadata governance processes to adapt to evolving business needs and technological advancements. Documentation: Create and maintain comprehensive documentation for metadata governance processes and the enterprise data catalog. Alation Administration: Implement template and workflow design, modify QLI and Alation Analytics Queries, Write APIs for updating Alation lineage or bulk metadata uploads, Document testing QA/UAT of changes Basic Qualifications: Bachelor’s degree in business Intelligence, Data Science, Computer Science, Engineering, or equivalent relevant work experience 7+ years of related experience working with data, metadata and reference data frameworks, and experience in metadata and/or data quality monitoring 3+ years of experience leading colleagues/work efforts and managing toward deadlines 2+ years’ experience in SQL with strong working knowledge and active skills Deep experience in leveraging and maintaining data catalog tools (i.e., Alation, Collibra, Informatica) and delivering frameworks for roles, responsibilities, and sustainable processes for data catalog governance Expertise in managing data domains, developing taxonomies, and creating ontologies to enhance metadata organization and usability Preferred Qualifications: Excellent verbal and written communication skills Strong knowledge of Microsoft Excel, PowerPoint and Word Demonstrated experience with data management concepts including data governance, data quality, master data management, data lineage, metadata, and reference data management Demonstrated technical competency of organizing and facilitating problem solving in a group environment Business acumen in relating data to business process drivers and performance management Collaborative, team-focused, delivery experience Demonstrated verbal and written communication skills Experience working independently with minimal direction Strategic, intellectually curious thinker with focus on outcomes Demonstrated technical competency of organizing and facilitating problem solving in a group environment Ability and willingness to learn new technologies and fill different roles within the team Ability to work objectively towards solving problems Strong knowledge of data and metadata and reference data management principles Strong knowledge of business analysis and process engineering Ability to think conceptually and abstractly Business outcome focused Demonstrated perseverance Excellent written and verbal communication skills Strong negotiation, influencing, and partnership skills Strong knowledge of Microsoft Excel, PowerPoint and Word Understanding of data management concepts including Data Governance, Data Quality, Master Data Management, Data Lineage, Metadata, and Reference Data Management Demonstrated ability to work independently across multiple tasks while meeting aggressive timelines Strategic, intellectually curious thinker with focus on outcomes Crisp business execution and project management rigor along with a demonstrated commitment to a strong customer service philosophy Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Benefits: 401(k) 401(k) matching Bonus based on performance Company parties Employee discounts Flexible schedule Opportunity for advancement Training & development Wellness resources Job Summary: We are seeking a detail-oriented and analytical Data Analyst to join our dynamic tax team. The successful candidate will play a crucial role in ensuring the accuracy and integrity of tax-related data. The Data Analyst will be responsible for collecting, organizing, and analyzing tax and financial data to support tax preparation and compliance, reporting, and strategic decision-making. Key Responsibilities: Data Collection and Compilation: Gather and compile relevant financial data from various sources, including client forms, internal systems, financial statements, and third-party reports. Ensure the completeness and accuracy of tax-related information. Data Analysis and Interpretation: Conduct thorough analysis of financial data to identify trends, anomalies, and potential tax implications. Tax Compliance: Assist in the preparation of tax returns by providing accurate and well-organized data. Collaborate with tax professionals to ensure compliance with local, state, and federal tax laws. Quality Assurance: Perform regular audits and reviews of tax data to maintain data accuracy and integrity. Implement and maintain data quality controls to minimize errors and discrepancies. Reporting: Generate comprehensive reports summarizing tax-related data analysis for internal stakeholders. Communicate findings and insights in a clear and understandable manner. Process Improvement: Identify opportunities for process improvement in tax data management and implement efficient solutions. Stay informed about changes in tax regulations and adjust data processes accordingly. Qualifications: Obtain IRS PTIN Pass Background check Proven experience in data analysis, preferably in a tax or finance-related role. Proficiency in Microsoft tools and learning new software (e.g., Excel, SQL). Excellent attention to detail and organizational skills. Strong communication and collaboration skills. Ability to work under tight deadlines and manage multiple tasks simultaneously. Willingness to serve people Preferred Qualifications: Professional certification such as CPA or CMA. Familiarity with tax software and ERP systems. Bachelor's degree in Accounting, Finance, or a related field. If you are a highly motivated individual with a passion for data analysis, we encourage you to apply for this rewarding position. Join our team and contribute to the success of our finance department. 3 month seasonal role with opportunity to go full time P erks: Hourly pay + competitive bonus program Flexible Schedule Options Heath & wellness benefits 401K and other perks Corporate discount program Free tax preparation training and PTIN registration Free continuing tax education Enrolled Agent materials and testing reimbursement Compensation: $17.00 - $22.00 per hour Working at Jackson Hewitt Jackson Hewitt is an innovator with nearly 6,000 locations, and we’re on a mission to change the face of the tax industry. We are an industry-leading provider of full-service individual, federal, and state income tax preparation with offices across the country. Jackson Hewitt is always seeking to improve its financial products, promotions, and partnerships so clients get more. Taxes are fun (really!) Jackson Hewitt is proud to offer free tax training as well as continuing education for tax preparers across the country. With nearly 6,000 locations to choose from, there's likely a Jackson Hewitt location near you, including at your local Walmart store. Tax preparers have flexible scheduling and various rewards too. PTIN Certification: Yes By submitting this form, I hereby acknowledge that most Jackson Hewitt locations are operated by independent franchisees and not Jackson Hewitt or its affiliates. I further acknowledge that franchisees are independent employers and separate companies and employers from Jackson Hewitt Inc., and set their own employment policies and practices. Franchisees are the exclusive employer of their employees and as such are solely responsible for all employment-related matters and decisions in their locations. Specifically, with regard to employees of franchisees, such franchisees, and not Jackson Hewitt, will have exclusive control over all employment-related decisions, including decisions concerning hiring, firing, wages, conditions of employment, discipline, staffing, or any other day-to-day employment issue. Jackson Hewitt Inc. will have no obligation or right to control any franchise employment issue relating to employees of a Jackson Hewitt franchisee. By applying for a job at a franchise-operated location, I understand that the information I provide will be forwarded to the franchisee in order for that organization to reach out to me and process and evaluate my application. I acknowledge that Jackson Hewitt will not receive a copy of my employment application and will have no involvement in any employment decisions regarding me, including whether I receive an interview or whether I am hired to work for the franchisee. I understand that I need to contact the relevant franchisee for information about its privacy practices. Any communications opt-out that I submit in any franchisee’s job application process is specific to that franchisee and will not be communicated to any other entity.

COMPANY SUMMARY Kingland develops premium, innovative enterprise software for some of the world’s most integral companies. Our products and solutions enable the largest banking & capital markets and public accounting firms to use and manage data better. Our clients support the foundation of the global financial system, helping to ensure fairness, honesty, and transparency on a global stage. We help by solving their complex data problems, and connecting and protecting their critical information. We take pride in our reputation for serving our clients like no one else can. While we work with clients from all over the world, our unique story began in Clear Lake, Iowa in 1992. To this day, we hold true to our core values of authenticity, excellence, ownership, and creativity – these have been instilled into our culture and remain a key part of how we operate and do business. We provide exceptional opportunities for each of our team members to learn and grow their skills and careers, while also offering flexibility and balance because we recognize that enjoying life and family is a priority. At Kingland we allow employees to “live locally and work globally” by offering many positions the choice of a remote, hybrid, or in-person work approach. Kingland is growing. We continue to seek individuals with unique skill sets and the desire to work on mission-critical projects in a collaborative and rewarding environment. Explore all the ways that you can join our team of talented individuals and launch yourself into an exciting new adventure at Kingland. POSITION SUMMARY | Data Research Analyst Intern Are you looking for an opportunity to jump-start your future career? Do you want to gain real world experience working on a team that values hard work and resourcefulness? Are you motivated and willing to learn new things? If you answered “yes”, the Data Research Analyst (DRA) position may be for you. This is data-entry position that requires analytical skills and attention to detail. The DRA position will be hybrid with Kingland, which requires the intern to have a personal computer and access to the internet for the internship. DRA’s are an integral part of the Operational Data Outsourcing (ODO) production team, which provides data maintenance and cleansing for capital markets and large banking firms through internet-based research. DRA’s will have the opportunity to earn promotions and take on additional responsibilities such as reviewing others’ work, leading small teams of DRA’s, and assisting management in enhancing data quality. RESPONSIBILITIES AND DUTIES | Data Research Analyst Intern Conduct research and complete data entry on corporations and investment vehicles, using defined procedures to identify relationships and provide validated and credible data. Continue to enhance data quality over time on new and existing data through continual data clean-up efforts. Perform work according to the data quality and production standards as defined in policies and procedures. Participate in projects, as assigned, to assist the management team with improving automation, efficiency, effectiveness of solutions, and training. POSITION REQUIREMENTS | Data Research Analyst Intern Strong work ethic and a willingness to learn. Ability to work remotely while also meeting performance expectations. Interest in learning about the financial industry. General knowledge of financial and accounting industries preferred. Must have access to internet. Must be an Iowa resident. Must have personal computer for use during internship. Must currently be enrolled in college level courses. Minimum of 3.0 GPA. Must be able to commit 18 hours a week to the internship. Must be able to commit to 2 consecutive semesters. LOCATION This position is based at our Kingland-Ames office and follows a hybrid work model. Remote work flexibility is available for candidates residing in Iowa.

ICF is a rapidly growing, entrepreneurial, multi-faceted consulting company, seeking a Data Engineer. This resource will help bring new data insights to a government agency committed to improving child welfare. The ICF team performs custom software development, analytics, and maintenance on a suite of web-based applications, and works closely with clients and other contractors to ensure the performance and reliability of public-facing, mission-critical applications. Based on your experiences and interests, we may ask you as a technology professional to support growth-related activities, including (but not limited to) RFI, RFP, prototypes, and oral presentations. Team members are also expected to uphold and maintain appropriate certifications necessary for their practice expertise. Job Location: This is a fully remote position; however, the role is tied to the Washington, DC Metro area due to team requirements. Occasional in-person meetings may be required. An in-person interview will be required and candidates must reside within 50 miles of the Washington, DC Metro Area to be considered. What you’ll be doing: Help build, and optimize a AWS-based data lake to support AI/ML initiatives and advance analytics Design and implement scalable data ingestion pipelines for both batch and real-time data from diverse structured and unstructured sources Perform extensive data profiling, transformation and enrichment to prepare clean, ML ready datasets for data scientists and analysts. Develop custom reports and data visualizations to support analytics, decision-making across business and technical teams Collaborate with data scientists and business teams to deliver curated datasets and reporting needs for ML and analytics. Support project delivery on Data lake, Data Warehouse/BI projects for external and internal clients, including partnering with ICF subject matter experts on project execution What you must have: Bachelor’s degree (e.g., Computer Science, Engineering or related discipline) 6-8 years’ experience in Data engineering with strong background in pipeline development and data integration. 3+ years of hands-on experience with AWS data services, including: Amazon Glue, Lambda, S3, StepFunctions and Athena; familiarity with Redshift and Lake Formation is a plus. 6+ years of experience in SQL and programming, preferably in Python. Experience with BI Tools like Tableau, PowerBI or Amazon QuickSight. Experience with cloud integration tools such as Talend, Informatica US Citizen or Permanent Lawful Resident (Green Card Holder). Excellent oral communications, thought leadership and formal presentation skills Must be able to obtain a Public Trust clearance MUST RESIDE IN THE United States (U.S.) and the work MUST BE PERFORMED in the United States (U.S.), as this work is for a federal contract and laws do apply ​ What we'd like you to have: Understand ETL concepts of data flow, data enrichment, data consolidation, change data capture and transformation Familiarity with modern data lake architecture and data governance best practices. Demonstrated experience showing strong critical thinking and problem solving skills paired with a desire to take initiative Experience working with big data processing frameworks such as Apache Spark, and streaming platforms like Kafka or AWS Kinesis. AWS certification (Data Analytics, Developer, or Solutions Architect) is a plus. Experience with event-driven architectures and real-time data pipelines. Experience with DevOps tools like Jenkins/Git to assist development process Experience working in agile development environments #LI-CC1 #Indeed Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer . Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist . All information you provide will be kept confidential and will be used only to the extent to provide needed reasonable accommodations. Read more about workplace discrimination righ t s or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted . This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is : $89,203.00 - $151,646.00 Nationwide Remote Office (US99)

Benefits: Competitive salary Dental insurance Health insurance Vision insurance Job Title: Data Entry Clerk Location: Indio, CA Job Type: Full-Time Job Summary: We are seeking a detail-oriented and efficient Data Entry Clerk to join our team. The ideal candidate will be responsible for entering, updating, and maintaining accurate data in our systems. This role requires a high level of accuracy, organizational skills, and the ability to manage large amounts of information efficiently. Key Responsibilities: Input and update data into company databases and systems with high accuracy. Verify and review data for errors, making necessary corrections. Organize and maintain electronic and paper records. Retrieve and manage data for reports and presentations. Follow company guidelines and procedures for data entry and management. Assist in administrative tasks as needed. Answer phones, check in deliveries, attend walk-in traffic (very light) Qualifications: High school diploma or equivalent; additional certifications in data entry or administration are a plus. Proven experience as a Data Entry Clerk or in a similar role. Proficiency in Microsoft Office Suite (Excel, Word) and data entry software. Strong typing skills and attention to detail. Excellent organizational and time management skills. Ability to work independently and meet deadlines. Benefits: Competitive salary Health, dental, and vision insurance (if applicable) Opportunities for career growth and development How to Apply: Interested candidates should submit their resume and a brief cover letter to ahodges@deeandc.com . Please include "Data Entry Clerk Application" in the subject line. Desert Elite Electric & Construction, Inc. is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Compensation: $18.00 - $20.00 per hour Join the Elite Team! We want to make joining our team as easy as possible. Our team members are the most valuable assets in our organization. It’s true, our employees come first! Join our team and be part of a dynamic, innovative environment where your ideas matter! We foster a culture of collaboration, growth, and creativity, providing opportunities to develop your skills and advance your career. With a supportive team, exciting challenges, and a mission-driven approach, you'll find purpose in your work and the motivation to achieve your full potential. Come make an impact with us! So, if you have a great attitude and a strong work ethic, and are someone who takes pride in the work you do, then we want to hear from you! Each franchise location is independently owned and operated by a franchisee. Your application will go directly to the franchisee, and all hiring decisions will be made by the management of this franchisee. The franchisee sets their own compensation and benefits. All inquiries about employment, benefits, scheduling and compensation at this franchise should be made directly to the franchise location, and not to Mister Sparky Corporate.

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us. About Dexcom: Founded in 1999, Dexcom, Inc. provides continuous glucose monitoring technology to help patients and their clinicians better manage diabetes. Since our inception, we have focused on better outcomes for patients, caregivers, and clinicians by delivering solutions for people with diabetes - while empowering our community to take control of diabetes . Meet the team: We are hiring for a Sr. Staff Data Engineer based out of our San Diego, CA office. In this role, you will be a key contributor to the Business Intelligence team and the larger Dexcom Data Organization. You will be working with Data & Analytics Analysts to provide reliable, clean, meaningful data models for internal and external stakeholders. Along with working to provide data for key operating metrics and insights, Dexcom is the place where you can use your data integration expertise for good in the world. Functional Description : Technical Individual Contributor Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy. Documents and communicates database design. Evaluates and installs database management systems. Codes complex programs and derives logical processes on technical platforms. Builds windows, screens and reports. Assists in the design of user interface and business application prototypes. Participates in quality assurance and develops test application code in client server environment. Provides expertise in devising, negotiating and defending the tables and fields provided in the database. Adapts business requirements, developed by modeling/development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application. Where you come in: Design, build, and maintain processes to integrate critical data with internal and external source and target systems Design, build, and maintain processes to turn source data into dimensional data models Evaluate, install, configure, monitor, and maintain data integration tools in a Linux environment, on-premises and/or cloud-based Participate in defining, analyzing, and selecting next-generation data warehouse and analytics platforms Work with stakeholders of source data to understand the structure of the data and how it should be modeled in the Dexcom Analytic Platform (DAP) What makes you successful: Strong SQL programming skills, including the use of SQL analytic functions Demonstrated understanding of dimensional data modeling concepts, i.e. hierarchies, cardinality, slow-changing dimensions, etc. 3 or more years building and maintaining a data warehouse 3 or more years using and operating one or more data integration tool sets (i.e. SnapLogic, dbt, Talend, Informatica, etc.) What you’ll get: Experience with Google Cloud Platform (GCP) BigQuery Analytic Database Experience with Fivetran data ingestion Experience with dbt data transformation Experience with SnapLogic data integration platform Experience with Oracle Fusion. Travel Required: 0-5% Experience and Education Requirements: Typically requires a Bachelor’s degree in a technical discipline, and a minimum of 13+ years related experience or a Master’s degree and 8+ years equivalent industry experience of a PhD and 5+ years of experience Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom’s AAP may be viewed upon request by contacting Talent Acquisition at talentacquisition@dexcom.com. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at talentacquisition@dexcom.com. Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: https://health1.meritain.com/app/public/#/one/insurerCode=MERITAIN_I&brandCode=MERITAINOVER/machine-readable-transparency-in-coverage?reportingEntityType=TPA_19874&lock=true To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications. Salary: $149,000.00 - $248,300.00

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. The Data Operations Manager plays a critical role in enabling high-quality data delivery for Life Sciences customers. This role is responsible for scoping new assay and data product launches, documenting client requests via data transfer agreements, and maintaining up-to-date standards for Tempus data deliverables. The Data Operations Manager partners with cross-functional teams to define requirements, coordinate project timelines, and ensure seamless execution of new offerings. Additional responsibilities include execution of complex deliveries involving key molecular biomarkers from sequencing, troubleshooting various data-related issues, and supporting client data pipeline audits. Responsibilities Act as a cross-functional resource on data quality and integrity, supporting internal teams with expertise in data maintenance and governance Own and maintain documentation and process standards for internal workflows and emerging molecular data products, ensuring alignment across business units Lead engagement with customers during audits, representing Tempus’ data pipelines and operational processes with clarity and accuracy Translate client requirements into actionable plans by partnering with data quality teams to scope and deliver tailored solutions for high-impact customers Leverage SQL to assess feasibility of custom data solutions and proactively troubleshoot data quality issues Partners with clients to align their oncology research goals with Tempus' precision medicine tools and analytics, leveraging scientific expertise to drive impact Facilitate the scoping process for new assay launches including requirements gathering, risk assessment, and timeline development Support accurate and timely execution of data deliverables for our Life Sciences sequencing collaborations Minimum Qualifications 3+ years of experience managing data workflows, process improvements, or operational support in a commercial or laboratory environment Knowledge of genomic healthcare data including molecular sequencing results and clinical patient information Clear communication and presentation skills, can articulate complex issues concisely Understanding of statistical concepts and data analysis techniques Excellent analytical and problem-solving skills Attention to detail and strong organizational skills Good communication and interpersonal skills Experience with data validation, cleaning, and query resolution Proficient in Microsoft Excel for data entry and simple analysis Ability to work independently to solve issues and drive projects forward Experience working with and managing external clients and stakeholders Adept at fostering relationships and working with diverse teams across the business Preferred Qualifications 5+ years of experience overseeing data management, process optimization, or operational support in a fast-paced industry environment 2+ years of experience using SQL for basic data pulls, reporting, and database management 1+ years of hands-on experience with enterprise cloud computing and storage platforms (AWS, GCP etc) Advanced Excel ability CRO experience and knowledge of the oncology space Knowledge of clinical trials and regulatory requirements #LI-SH1 #LI-Hybrid Illinois Salary Range: $80,000-$120,000 The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About Fluidstack We build and operate high-performance GPU clusters so the most ambitious teams can move fast, stay focused, and scale without friction. Our cluster power top AI labs, governments, and enterprises. Our customers include Mistral, Poolside, Black Forest Labs, Meta, and more. Our team is highly motivated, and focused on providing a world class supercomputing experience. We put our customers first in everything we do, working hard to not just win the sale, but to win repeated business and customer referrals. We hold ourselves and each other to high standards. We expect you to care deeply about the work you do, the products you build, and the experience our customers have in every interaction with us. You must work hard, take ownership from inception to delivery, and approach every problem with an open mind and a positive attitude. We value effectiveness, competence, and a growth mindset. About the Role We are seeking a talented Data Center Building Manager to join our Data Center Operations team and lead the management of our flagship AI infrastructure site housing hundreds of thousands of GPUs. You will play a critical role in overseeing the operations and maintenance of our data center infrastructure, ensuring maximum uptime and performance for our world-class GPU supercomputers. Focus Lead a team of technicians and engineers to maintain 99.99% uptime for critical AI infrastructure Manage and prioritize tasks via internal tools e.g. JIRA and Confluence to ensure efficient operations Collaborate with project managers, and engineers to plan and execute data center expansions. Collaborate with internal teams to troubleshoot and perform Root Cause Analysis (RCA) and Corrective Action (CA) for issues Coordinate the creation of detailed records of hardware issues and resolutions, and communicate effectively with internal teams and vendors. Work alongside a logistics specialist to maintain an accurate spares inventory and replenish stock as needed to ensure timely repairs. Participate in new deployments by assisting Liaise with local colocation partners to fully understand site topology and articulate issues as needed Analyze routine operational tasks, create and share written reports on improvement opportunities for tooling and automation. Drive continuous improvement initiatives across data center operations About You 7+ years of experience managing large-scale data center operations, preferably with HPC or AI infrastructure Strong technical background in data center mechanical and electrical systems (power distribution, cooling, fire suppression) Proven track record of managing teams and multi-million dollar facility budgets Experience with GPU clusters and understanding of AI workload requirements Excellent communication skills to interface with technical teams, vendors, and executive stakeholders Work in a physically challenging environment (sound/vibration/thermal) and be able to lift 50 lbs. Nice to haves Background in managing facilities for AI/ML workloads Experience with sustainability initiatives and PUE optimization Knowledge of compliance frameworks (SOC2, ISO 27001) Benefits Competitive total compensation package (cash + equity). Retirement or pension plan, in line with local norms. Health, dental, and vision insurance. Generous PTO policy, in line with local norms.

The Swift Group is looking for a DevOps Data Engineer to join our team. The optimal candidate will be responsible for taking a leadership role in refactoring existing data workflows from an on-premises infrastructure to the cloud. The ideal candidate is a hands-on developer with extensive DevOps experience who can identify and implement the appropriate cloud alternative to on-prem resources. Key Responsibilities: Responsible for the full data lifecycle – from exploratory data analysis to the upkeep of production data flows. Focuses a majority of their time supporting the underlying environment and infrastructure used by the rest of the Data Engineering and Data Science teams. Required Qualifications: Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience. 6+ years of experience in DevOps/Data Engineering Extensive familiarity with AWS services to include CloudFormation, EC2, S3, and RDS CloudFormation, Ansible, Git, Jenkins, Bash Programming Languages: Python, Java or Scala Processing Tools: Elasticsearch, Spark, NiFi, and/or Docker Datastore Types: Graph, NoSQL, and/or Relational US Citizenship and an active TS/SCI with Polygraph security clearance required Desired Qualifications: Familiarity with AWS CDK Terraform, Packer Design Concepts: REST APIs Programming Languages: JavaScript / NodeJS Processing Tools: Presto / Trino, MapReduce, Hive #LI-DI1 #Onsite The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class. Pay Range: $49,996.80 - $290,004.00 Pay ranges are a general guideline and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, work experience, education, certifications, Federal Government contract labor categories, and contract wage rates. At The Swift Group and Subsidiaries, you will receive comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits.

About Energy CX: Energy CX is the fastest-growing energy broker in the US, distinguished by our focus on helping businesses slash their energy expenses. What sets us apart is our suite of solutions, advanced analytics, and dedicated service, all aimed at delivering lower energy costs. Why Energy CX? Entrepreneurial and ambitious culture with a great team oriented environment Fastest growing energy broker in the country Recognized by Fortune and Great Places to work US Named on Inc 5000’s list of America’s fastest growing companies Compensation $140,000+ annually, with potential for up to 20% bonus based on performance Title: Senior Data Engineer About this Job As a Senior Data Engineer, you'll architect and maintain robust data systems that power our organization's decision-making. You'll design scalable pipelines, implement data quality frameworks, and create the technical foundation our teams rely on to analyze complex energy market trends and business metrics. Your work ensures our data infrastructure can handle growing demands while delivering consistent, accurate insights to customers and stakeholders across the organization. Daily and Monthly Responsibilities Design, build, and maintain scalable data pipelines and infrastructure to efficiently process data from multiple sources for internal and customer-facing applications Implement comprehensive data quality controls, governance standards, and privacy frameworks to ensure data accuracy, completeness, and compliance across all business processes while maintaining multi-environment architecture and DevOps best practices Build and maintain robust MLOps infrastructure that supports model development, deployment, and monitoring while enabling seamless data science collaboration Collaborate with product, engineering, and business teams to translate requirements into technical data solutions while mentoring team members on data engineering best practices Continuously monitor and optimize data pipeline performance, query efficiency, and cloud resource utilization to maintain cost-effective, high-performing systems Skills & Qualifications 7+ years of data engineering experience working in fast-paced environments with a track record of high-impact individual contributions Advanced knowledge of data architecture principles, including data modeling, ETL processes, governance standards, quality controls, and privacy frameworks Extensive experience with cloud services, including multi-environment architecture, containerization, IaaS, and observability systems Proven expertise in SQL & NoSQL databases, Python, and modern data stack technologies, with proficiency in PostgreSQL, Airflow, Airbyte, dbt, and Spark preferred ECX Benefits PTO 15 days but highly flexible All major holidays Half day on the Wednesday before Thanksgiving Thursday & following Friday fully off 12/24 - 1/2 Company break (Subject to be longer, but at minimum, all employees can expect this time off) Insurance Health - We cover 50% of your monthly premium cost Dental - We cover 50% of your monthly premium cost Vision - We cover 50% of your monthly premium cost Basic Term Life & AD&D insurance policy- We cover 100% 401(K) Employer match 20% of total contribution on up to 5% of salary Additional Work from home on Fridays 20 work from home days per year (in addition to WFH Fridays) Wednesday catered lunches Gym membership at on-site gym facilities Frequent company events Energy CX Company Culture Our culture is not for everyone . We believe in our team's personal growth. Everyone is provided with the resources to invest in themselves and realize their full potential. At Energy CX, we challenge one another to tackle complex challenges, work hard, innovate, and grow. We have a shared and unique set of values Customer Obsession - Deep Desire to Delight the Customer Continuous Growth - Fail Forward High Standards - Raise The Bar Bias for Action - Don’t Talk, Do Radical Honesty - Share Your Thoughts Effective Communication - Be Clear & Concise Prioritization - Do What’s Important, Not Urgent Long-Term Thinking - Eat Your Vegetables Resourcefulness - Be Independent Discipline - Be Consistent Focus - Dive Deep Pursuit of Fulfillment - Be Your Best Our culture rewards personal growth and performance. Therefore, we are seeking exceptional individuals to join our incredible culture. Hiring Scam Alert: All official communication regarding job opportunities at EnergyCX will come from an @energycx.com email address. We will never ask for personal information, payment, or sensitive data through unofficial channels. If you receive any suspicious emails claiming to be from EnergyCX but using a different domain, please disregard them and report the incident to us.

Position Overview: We’re looking for a US based Senior Data QA Engineer to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across product, data, and analytics domains through both technical expertise and an inquisitive, curious mindset. In this role, you’ll be expected to take ownership of QA processes for mission-critical projects—ranging from customer-facing applications to backend systems and large-scale data workflows. You’ll collaborate closely with cross-functional teams to design scalable QA strategies, guide their execution, and ensure best practices are applied across the stack and teams. You should bring a strong background in quality assurance with hands-on experience in data validation, test automation, and modern QA practices across APIs, data pipelines, and web applications. The ideal candidate is a confident QA leader—comfortable working in complex systems, resolving ambiguity, and driving clarity through structured test strategies. You’ll not only define and execute comprehensive test plans, but also help shape how we ensure data and system quality at scale. You’ll be responsible for: Designing and owning data QA processes, including test documentation, incident tracking, and quality metrics and dashboards. Design and implement end-to-end test strategies for data pipelines, ETL/ELT processes, data warehouses, and reporting systems. Building automated data validation frameworks to ensure accuracy, consistency, and reliability of large-scale datasets Creating and maintaining data quality checks, test plans, and monitoring solutions across structured and semi-structured data sources Leading QA initiatives across data-focused projects, collaborating closely with Data Engineering, Engineering, Analytics, and Project management teams Developing SQL- and script-based test suites to validate data transformations, business logic, and aggregation rules. Supporting analytics, BI, and reporting platforms by validating data integrity, lineage, and metric correctness Proactively identifying data quality issues and driving resolution through detailed root cause analysis and stakeholder coordination Integrating automated data tests into CI/CD workflows to enable continuous data validation and faster releases QA best practices in the data domainMentoring other QA team members on data validation techniques, automation strategies, and QA best practices in the data domain Ideal candidate requirements: Technical Skills 7+ years of experience in QA area 4+ years of experience as a Data QA Engineer/Data QA Analyst Deep understanding of general QA process, test design techniques and industry standards. Strong expertise in scripting programming languages (JavaScript/Python) Proven experience designing, building, and scaling Data QA processes Experience managing QA for projects and working in standard QA and project management tools like Testrails, Jira, Confluence Experience with white/grey box testing. Comfortable building, supporting, and integrating with production-grade ETL/data pipelines Build and maintain data quality automation frameworks using SQL, JavaScript/Python, or test platforms like DBT tests, Apache Airflow validations, etc. Understanding of the data governance concepts and experience with data governance tools or platforms. Understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes) Business Skills Capable of leading Data QA projects across both application and data-focused initiatives Strong communication skills with an ability to bridge technical and non-technical stakeholders Demonstrated experience mentoring QA analysts and QA engineers and contributing to QA culture and growth Experience in fast-paced startup or scaling environments Prior experience in healthcare, life sciences, or regulated data environments is a plus Bonus Points Experience building or supporting admin tools and internal platforms Experience with data observability, schema governance, or data lineage tooling Exposure to machine learning pipelines, business intelligence tools, or product instrumentation Familiarity with mobile development frameworks such as React Native or Capacitor Benefits: Competitive Salary 100% Company-Paid Premiums for Employee’s Medical Health, Vision, and Dental Plans Short-term and Long-term Disability Life Insurance 401k Matching Work from Anywhere within the US Flexible PTO 100% Paid Parental Leave Post-Parental Leave Program - $5k stipend to assist with expenses, 4 week 100% paid “Ease-Back” return to work transition period Charitable donation matching Location: Our “Work from Anywhere” philosophy is aimed at making sure that we recruit a diverse range of thought leadership to ensure that our technology is better able to serve local health care providers. Our goal is to hire the country’s top talent and allow them to create an environment within the U.S. where they can do their best work. About Our Organization: At RxVantage, we're a small company with a big mission: to connect healthcare providers with the right life science experts and resources they need, exactly when they need them, to improve patient care. We’ve built a software platform that’s changing the way providers learn about the latest medical advancements and technologies. Every year, our platform powers over 1 million educational exchanges between medical practices and life science companies, making it easier for them to stay informed and provide better care. We have a proven product, a strong mission, and a passionate team. Now, we're looking for talented people to help us grow even more. If you're driven, eager to make an impact, and ready to be part of something meaningful, we want to hear from you! --- RxVantage is an equal opportunity employer and dedicated to ensuring that we represent the local communities where our health and wellbeing providers serve as pillars of support to our family, friends, and neighbors. Our representation within these communities allows us to embody a diverse set of backgrounds, experiences, abilities and perspectives; and provide an inclusive environment for our team to feel empowered to be their authentic selves, without fear of harassment or discrimination.