Senior Data Engineer

Job Number: 912

This is a remote position.

Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods, our team creates products that meet people’s needs and transform their experience of government.

Work on things that matter

Our collaborations have shaped some of the defining moments in public-sector service delivery. We’ve helped build products that connect Veterans to tailored services, help millions access affordable health care, and support important programs like Head Start. As we work with agencies to deliver critical services, we’re also changing how the government approaches technology.

Built for a remote life

Our culture, communications, and tools are built for remote work, enabling us to bring together top talent nationwide. At Ad Hoc, remote life empowers our teams to design work environments that fit their lives and that foster flexibility and collaboration to achieve positive outcomes for our customers.

Committed to high expectations and a welcoming culture

Ad Hoc values acceptance, accountability, and humility. We aren’t heroes. We learn from our mistakes and improve the process for the next time. We build small, inclusive teams to collaborate closely with our partners to solve the right problems and deliver software that works.

The Federal Civilian business unit supports many customers spanning the federal, commercial, and nonprofit space. Our customers include NASA, the General Services Administration, Office of Personnel Management, the Library of Congress, Health & Human Services, and the FDIC. We partner with these agencies to build new capabilities, deliver products, establish data as a strategic asset for informed decision-making, modernize legacy systems, and build the digital service infrastructure necessary to scale their mission impact.

Primary Responsibilities

Senior Data Engineer serves as an experienced individual contributor within a team, with the expectation that you will continue to develop your leadership, technical guidance, and mentoring skills. With minimal oversight from leadership, you will design, build, and optimize scalable data solutions that support business and customer needs while ensuring projects meet scope, schedule, and delivery commitments.

As a Senior Data Engineer, you will contribute to the long-term data strategy of the program, influence architectural decisions, and collaborate closely with software engineers, product managers, analysts, architects, and stakeholders to deliver reliable, secure, and scalable data platforms. You may serve as the primary data engineering lead for initiatives and utilize strong leadership and communication skills to drive improvements in data engineering processes, platform reliability, and engineering best practices.

Primary expectations of a Senior Data Engineer include:

• Evaluate and recommend multiple technical approaches to solve complex data engineering and architecture challenges.
• Design, develop, maintain, and optimize scalable data pipelines supporting both batch and real-time processing.
• Design and implement robust ETL/ELT workflows that transform raw data into reliable, consumable datasets.
• Build and maintain scalable data models, data warehouses, and cloud-native data architectures.
• Develop solutions for structured, semi-structured, and unstructured data sources.
• Generate data architecture recommendations and successfully implement approved solutions.
• Ensure data quality, integrity, governance, lineage, security, and observability across data platforms.
• Optimize database performance, query execution, storage strategies, and overall system scalability.
• Diagnose and resolve production issues while implementing long-term improvements to increase system reliability and performance.
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
• Present technical designs, architecture diagrams, and implementation strategies to clients, stakeholders, partners, and engineering teams.
• Champion data engineering best practices, coding standards, automation, and operational excellence.
• Mentor junior engineers through technical guidance, code reviews, design discussions, and knowledge sharing.
• Lead small projects or serve as the technical lead for data engineering initiatives when needed.
• Effectively communicate technical challenges, risks, and progress with engineering teams, leadership, clients, and stakeholders.
• Participate in technical interviews and contribute