• 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.

Role Description We’re looking for a Vice President, Data to build, lead, and grow R&P’s data practice from the ground up. This is an important role at Robots & Pencils, a player-coach position that demands equal parts technical depth, business ownership, and leadership. You will establish R&P as a go-to partner for: - Data strategy - Modern data architecture - AI-ready platforms - Business intelligence - Data engineering You will own the practice as a true business, with full accountability for: - Revenue - Profitability - Client outcomes - Team development You’ll report to the Global Head of Delivery and be part of the Senior Leadership team. Qualifications - 10+ years of progressive experience in data and analytics - At least 3 years at director, principal, or practice-lead level within a professional services or technology consulting business - Demonstrated track record of building or scaling a data practice or service line - Proven experience solutioning and delivering complex data engagements - Deep expertise in Databricks, Snowflake, and/or AWS (Redshift/S3) - Comprehensive command of the data ecosystem - Expertise across the full data value chain - Strong executive presence - History of developing and mentoring high-performing technical teams Requirements - Act as the senior data authority in front of client CTOs, CIOs, and heads of data - Develop strategic views on where the data market is headed - Champion internal and external thought leadership - Develop best-in-class solutions architecture recommendations - Contribute to R&P's AI software development lifecycle - Build and lead a high-performing team of data consultants, engineers, BI leads, and data scientists - Set the technical standards, career architecture, and development pathways for data practitioners - Cultivate a collaborative, inclusive practice culture - Build the data practice into a $5m revenue practice in the first twelve months - Set a clear vision for the practice and communicate it compellingly - Define service lines, target industries, pricing logic, and operating model - Partner with the sales organization and client teams - Lead and support presales solutioning and scoping engagements - Lead the firm’s Databricks relationship and adjacent data partnerships Benefits - Comprehensive package of benefits including a bonus program - Paid time off - Medical/dental/vision insurance - 401(k) to eligible employees