• Serve as an administrator in Sigma Computing, including managing permissions, access controls, and workspace organization. • Provide daily user support, such as resolving report access issues, helping users understand error messages, and troubleshooting connection or data-source problems. • Participate in an on-call rotation to support the operational reliability. • Assist users with best practices for building reports, organizing content, and using Sigma features effectively. • Conduct demos, training sessions, workshops, and documentation to help teams adopt new features and improve their reporting workflows. • Support onboarding of new users and teams into the BI ecosystem. • Collaborate with analytics, data engineering, and product teams to ensure platform stability and support user needs. • Monitor platform performance, usage patterns, and reliability; escalate or address issues as needed. • Contribute to BI governance efforts, including folder structure, naming conventions, permissions hygiene, and lifecycle management. • Participate in evaluating and rolling out new BI features or enhancements.

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Business Functions, Data Science, Data SolutionsCertifications: NoneExperience: 5 + years of related experienceUS Citizenship Required: No Job Description: Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Engineer at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward. We are a fast-growing AI and Data team within the Global CIO organization at GDIT. We design and deliver enterprise-grade solutions that integrate AI, data, and human-AI collaboration workflows across key business functions (e.g., Growth, Finance, HR, Legal, and Supply Chain). We are looking for a highly skilled Data Engineer (Agentic AI) who shares a passion for delivering data engineering for agentic AI applications and building an AI-first data ecosystem foundational to enterprise AI transformation. MEANINGFUL WORK AND PERSONAL IMPACT: - Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases - Integrate data from enterprise systems and external sources, including structured, semi-structured, and unstructured data - Deliver reliable data services for agentic AI workflows, including APIs, retrieval/indexing, and governed context delivery for AI agents - Implement data quality, observability, and governance best practices across data pipelines and products - Optimize performance and cost across storage, compute, orchestration, and serving layers - Collaborate with cross-functional teams, including business stakeholders, AI engineers, and software developers, to translate requirements into production solutions WHAT YOU’LL NEED TO SUCCEED Bring your expertise and drive for innovation to GDIT. The Data Engineer must have: - Education: Bachelor’s degree in Computer Science/Engineering, Data Science, or a related field - Experience: 5+ years of experience delivering production-grade data engineering across databases, data integration, data services, and data governance - Role requirements: - Proficiency in programming languages (Python or Java) and databases (SQL and NoSQL). - Strong collaboration and communication skills in cross-functional enterprise environments. - Preferred Skills and Abilities: - Master’s degree in Computer Science/Engineering, Data Science, or a related field. Relevant certifications in Data Engineering, AI, or Cloud. - Experience delivering data engineering for agentic AI applications. - Experience with retrieval-based AI data foundations (document processing, metadata, embeddings, vector or hybrid search). - Familiarity with agent workflows and how agents interact with data services and tools in production. Experience with lakehouse architectures and cloud data platforms such as Azure (preferred), OCI (preferred), or AWS. - Experience in real-time streaming applications or other high-velocity solutions. - Experience leveraging AI tools to improve data engineering productivity and quality in coding, testing, and documentation. - Location: Remote - US Persons required GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. - Growth: AI-powered career tool that identifies career steps and learning opportunities - Support: An internal mobility team focused on helping you achieve your career goals - Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off - Flexibility: Full-flex work week to own your priorities at work and at home - Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. The likely salary range for this position is $119,000 - $161,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: 10-25% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Department: 12226 Enterprise Corporate - Enterprise Operational Reporting Status: Full time Benefits Eligible: Yes Hours Per Week: 40 Schedule Details/Additional Information: Are you ready to help drive the future of data and analytics at one of the largest health systems in the United States? Join Advocate Health as an IT Analytics Solution Architect and lead the technical transformation of our Enterprise Operation Intelligence (EOI) department. In this competitively compensated senior role, you’ll use your extensive technical experience in healthcare data and analytics tools (including Epic Cogito and modern cloud tools like Snowflake and PowerBI) to architect and implement a unified data product and analytics delivery strategy, champion modern data tool adoption, and empower analysts to deliver business value at scale. If you’re passionate about modernizing analytics, enabling full-stack analytics development, and balancing winsome evangelism with technical prowess to shape the next generation of data-driven decision-making, this is your opportunity to make a lasting impact across our organization. Pay Range $54.90 - $82.35 Major Responsibilities: - Define and lead the enterprise-wide technical strategy for operational analytics platforms, ensuring alignment with organizational goals and operating model. - Architect scalable, secure, and integrated analytics solutions across Epic Cogito, third-party BI tools, and cloud data platforms. - Establish and maintain a fit-for-purpose tool usage framework to guide development teams in selecting the right technologies for each use case. - Evaluate emerging Epic and third-party analytics capabilities and lead adoption planning and implementation. - Serve as a consultative partner to analytics developers and business stakeholders, providing expert guidance on solution design, tool selection, and implementation best practices. - Promote and support a federated development model by mentoring analysts and enabling full-stack development capabilities. - Facilitate knowledge transfer and standardization across teams to ensure consistent, high-quality solution delivery. - Implement and oversee standardized DevOps practices, including CI/CD pipelines for analytics development and deployment. - Design and enforce a robust RBAC (Role-Based Access Control) security model across all analytics platforms, in accordance with guidelines from Data Governance and other platform owners. - Collaborate with IT leadership and business units to ensure analytics platform capabilities are aligned with strategic priorities and deliver measurable outcomes. - Provide architectural oversight and technical direction for analytics initiatives within the project portfolio. - Support project management efforts by contributing to risk mitigation strategies, implementation planning, and stakeholder communication. Licensure, Registration, and/or Certification Required: - ​​Epic certifications appropriate to job function (status of Certified or Accredited) - Learning plan requirements to be provided with offer includes any missing Epic Cogito certifications needed to perform role, and certifications must be obtained within 5 months of starting first Epic class. Education Required: - Bachelor’s degree in Information Technology, Computer Science, Data Analytics, Engineering or a related field. Experience Required: - Typically requires 5 or more years in progressively responsible IT data or analytics roles, with at least 3 years focused on analytics architecture or enterprise reporting platforms in a healthcare setting. Knowledge, Skills & Abilities Required: - Deep expertise in Epic Cogito architecture and data structures (Caboodle, Clarity, Palette, etc.), and/or other appropriate data platform based on role/function. - Proficiency in one or more of the following platforms: BusinessObjects, Power BI, SSRS, and Snowflake. - Strong understanding of data governance, security models (RBAC), and DevOps practices in analytics environments. - Proven ability to define and execute technical strategy across complex, multi-platform environments. - Excellent consultative and communication skills, with the ability to influence and guide cross-functional teams. - Forward-thinking, strategic, technical leader with strong problem-solving skills and a passion for enabling data-driven decision-making. Physical Requirements and Working Conditions: - Travel outside of workplace is required and thus incumbent is exposed to weather and road conditions. - Operates all equipment necessary to perform the job. - Exposed to normal office environment. - Remote work environment Preferred Job Requirements: Education Required: - A Master’s degree in Computer Science or a related field Licensure, Registration, and/or Certification Required: - The following Epic certifications are preferred: Cogito, Cogito Tools Administration, Cogito Project Manager, or any Caboodle or Clarity certifications. - Snowflake SnowPro and Microsoft PowerBI or Fabric certifications preferred Experience Required: - Experience defining and executing analytics strategy in a consulting role Knowledge, Skills & Abilities Required: - Experience with ServiceNow ITIL and SPM modules - Strong background in data and analytics in the healthcare industry #Remote #LIRemote Preferred remote locations in IL, WI, NC, GA Fully Remote Role from these states: AL, AK, AR, AZ, DE, FL, GA, IA, ID, IL, IN, LA, KS, KY, ME, MI, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, WI, WV, WY. No relocation, No Sponsorship for this position or transfer of visa for this position. This job description indicates the general nature and level of work expected of the incumbent. It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent. Incumbent may be required to perform other related duties. Our Commitment to You: Advocate Health offers a comprehensive suite of Total Rewards: benefits and well-being programs, competitive compensation, generous retirement offerings, programs that invest in your career development and so much more – so you can live fully at and away from work, including: Compensation - Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training - Premium pay such as shift, on call, and more based on a teammate's job - Incentive pay for select positions - Opportunity for annual increases based on performance Benefits and more - Paid Time Off programs - Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability - Flexible Spending Accounts for eligible health care and dependent care expenses - Family benefits such as adoption assistance and paid parental leave - Defined contribution retirement plans with employer match and other financial wellness programs - Educational Assistance Program About Advocate Health Advocate Health is the third-largest nonprofit, integrated health system in the United States, created from the combination of Advocate Aurora Health and Atrium Health. Providing care under the names Advocate Health Care in Illinois; Atrium Health in the Carolinas, Georgia and Alabama; and Aurora Health Care in Wisconsin, Advocate Health is a national leader in clinical innovation, health outcomes, consumer experience and value-based care. Headquartered in Charlotte, North Carolina, Advocate Health services nearly 6 million patients and is engaged in hundreds of clinical trials and research studies, with Wake Forest University School of Medicine serving as the academic core of the enterprise. It is nationally recognized for its expertise in cardiology, neurosciences, oncology, pediatrics and rehabilitation, as well as organ transplants, burn treatments and specialized musculoskeletal programs. Advocate Health employs 155,000 teammates across 69 hospitals and over 1,000 care locations, and offers one of the nation’s largest graduate medical education programs with over 2,000 residents and fellows across more than 200 programs. Committed to providing equitable care for all, Advocate Health provides more than $6 billion in annual community benefits.

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: NACI (T1) Job Family: Cyber and IT Risk Management Job Qualifications: Skills: ETL, MongoDB, Pentaho, SQL Database QueriesCertifications: NoneExperience: 8 + years of related experienceUS Citizenship Required: Yes Job Description: We’re seeking a Data Engineer Senior to join our Scientific Modeling, Application, Visualization, Computational Science, Software, and Statistical Support (SMAVCS4) team to support the Environmental Protection Agency. Office of Chemical Safety and Pollution Prevention (OCSPP), a scientific organization working to support Agency decisions by providing solutions-driven research to rapidly evaluate the potential human health and environmental risks due to exposures to environmental chemicals and ensure the integrity of the freshwater environment and its capacity to support human well-being. MEANINGFUL WORK AND PERSONAL IMPACT The Data Engineer requires in-depth knowledge of developing and managing data analysis pipelines, including database development and statistical software programming for analyzing complex data. The successful candidate will administer and manage MySQL, PostgreSQL, and MongoDB databases to maintain optimal performance and data integrity. They will collaborate with backend teams and application development teams to design and implement ETL/ELT processes and optimize them to support EPA data needs. They will be responsible for designing and implementing highly optimized data models to ensure efficient data processing and retrieval. WHAT YOU’LL NEED TO SUCCEED Bring your expertise and drive for innovation to GDIT. The Data Engineer Senior must have: ● Education: Bachelor of Science ● Experience: 8+ years of related experience ● Technical skills: ETL/ELT, Python ● Security clearance level: must be able to obtain EPA Public Trust Level 4 ● US citizenship required ● Role requirements: Structured Query Language (SQL), Not only SQL (NoSQL), agile methodologies; ETL platform such as Pentaho and Informatica; Data Management & Data Modeling GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. ● Growth: AI-powered career tool that identifies career steps and learning opportunities ● Support: An internal mobility team focused on helping you achieve your career goals ● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off ● Flexibility: Full-flex work week to own your priorities at work and at home ● Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. The likely salary range for this position is $112,840 - $145,130. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans