• Design, implement, and maintain ETL/ELT pipelines that pull and merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization. • Own the data warehouse architecture, including partitioning strategy, access controls, and security, in partnership with Security and Infrastructure teams to meet compliance and performance requirements. • Partner with data science, engineering, Revenue Operations, and executive stakeholders to define and track KPIs, translating complex requirements into reliable data solutions that drive strategic decisions. • Champion data quality and governance, ensuring insights are consistent, trustworthy, and well-documented across the organization. • Take full ownership of billing data infrastructure, including backend warehouse tables, data models, and ongoing maintenance. • Build dashboards and analytics that deliver actionable insights for executive leadership, GTM, product, and finance teams. • Share knowledge and support the growth of peers through code reviews, documentation, and informal mentorship.

• Partner hand in hand with the Director of Data to translate platform and data strategy into engineering execution, operating as peers across the data organization. • Take an already high-performing data engineering team and keep it aligned with best practices — establishing, championing, and continuously reinforcing standards for modeling, transformation, testing, and documentation as the platform evolves. • Provide strategic direction and technical leadership to the data engineering team, defining and executing the data engineering roadmap in alignment with the broader business and data strategy. • Operate as a hands-on leader in a role split roughly 50% management / 50% individual contribution. • Define and maintain data architecture standards and best practices that ensure the consistency, reliability, and maintainability of data pipelines and systems. • Lead the design and implementation of data models and schemas that enable integration and analysis across the platform. • Architect and build complex data systems, including large-scale data migration projects. • Design, implement, and manage data pipelines, ETL processes, and data warehousing solutions for efficient ingestion, transformation, and storage. • Partner with the DevOps team to deploy new data prototypes and R&D initiatives. • Debug and optimize long-running queries, tuning pipelines for performance, scalability, and reliability across data volume, velocity, and variety. • Recruit, hire, onboard, and mentor a high-performing data engineering team — setting clear expectations, providing regular feedback, and conducting performance evaluations. • Foster a collaborative, inclusive team environment that promotes professional growth and skill development. • Evaluate and select technologies, tools, and platforms that enhance data engineering capability and scale. • Collaborate with data scientists, analysts, software engineers, and other stakeholders to translate data requirements into solutions that meet business needs. • Partner with IT, security, and compliance teams to maintain data privacy, security, and compliance standards. • Monitor and troubleshoot data engineering processes, resolving issues quickly. • Stay current with industry trends and emerging technologies, driving innovation and continuous improvement across processes, tools, and methodologies.

Role Description The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines and analytics environments supporting Health IT modernization initiatives. The successful candidate will work closely with analysts, data scientists, and application teams to deliver scalable, secure, and high-quality data solutions. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position. - Design and develop enterprise data pipelines and ETL processes. - Develop logical and physical data models. - Integrate data from multiple enterprise systems. - Implement data validation and quality control procedures. - Optimize database and reporting performance. - Support Power BI, Tableau, and enterprise reporting platforms. - Develop automation processes supporting data ingestion and transformation. - Ensure compliance with Government security and privacy requirements. - Troubleshoot data integration issues and performance bottlenecks. - Support cloud-based analytics environments and data modernization initiatives. - Prepare technical documentation and data architecture diagrams. Qualifications - Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field. - Minimum seven (7) years of data engineering experience. - Strong SQL development skills. - Experience designing ETL pipelines. - Experience with relational databases and data warehousing. - Experience supporting enterprise reporting platforms. - Ability to obtain DHS Public Trust suitability. Preferred Qualifications - Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience. - Power BI and Tableau development experience. - Healthcare data integration experience. - Knowledge of HL7 or FHIR standards. Compensation Expected Salary Range: $125,000–$135,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding. This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements. Application Process Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process. For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call. Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one. Equal Opportunity Statement A-TEK, Inc. is 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, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status.

Role Description A-TEK is seeking a Data Strategist to lead enterprise data strategy, governance, and analytics modernization efforts supporting DHS Health IT initiatives. This position will collaborate with business leaders, technical teams, and Government stakeholders to establish enterprise data standards, improve data quality, and maximize the value of organizational data assets. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position. - Develop enterprise data governance strategies and implementation roadmaps. - Establish data quality, metadata, master data, and data stewardship frameworks. - Define enterprise reporting and analytics strategies aligned with organizational objectives. - Collaborate with stakeholders to identify strategic data requirements. - Develop policies for data management, security, accessibility, and lifecycle management. - Support implementation of enterprise data governance tools and best practices. - Analyze current data architecture and recommend modernization initiatives. - Develop executive dashboards and performance measurement strategies. - Facilitate data governance working groups and stakeholder workshops. - Coordinate with data engineers, analysts, and business leaders to improve enterprise reporting capabilities. - Monitor data quality metrics and recommend corrective actions. - Support strategic planning and decision-making through data-driven insights. Qualifications - Bachelor's degree in Information Systems, Data Science, Computer Science, or related discipline. - Minimum ten (10) years of experience in enterprise data management or analytics. - Demonstrated experience implementing data governance frameworks. - Experience developing enterprise data strategies and roadmaps. - Knowledge of data architecture, metadata management, and data quality principles. - Strong analytical, facilitation, and communication skills. - Ability to obtain and maintain DHS Public Trust suitability. Requirements - Master's degree in Data Science, Analytics, Information Management, or related discipline (preferred). - Experience supporting Federal healthcare organizations (preferred). - Familiarity with DAMA-DMBOK or DCAM frameworks (preferred). Compensation Expected Salary Range: $115,000–$125,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding. This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements. Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process. For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call. Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one. A-TEK, Inc. is 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, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status.