JobgetherPosted today
Chief Data Engineer
Chief Data Engineer at Jobgether scores 30 out of 100 on AI centrality, which makes it a Level 1 role on this board.
AI in this role
Architect and lead cloud-based data pipelines and modernization initiatives for a federal enterprise data platform supporting analytical and AI workloads.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Chief Data Engineer based in the United States.
This role provides technical leadership for an enterprise data platform supporting federal investigative, audit, and oversight missions. You’ll architect and lead cloud-based pipelines that consolidate data from diverse investigative, government, and external sources. The position combines hands-on data engineering with architecture, modernization, governance, security, and team leadership. You’ll drive the migration from legacy ETL technologies to modern cloud-native solutions and establish scalable integration patterns. Working in secure Azure Government environments, you’ll help create authoritative datasets that support advanced analytics and AI applications. This is an opportunity to shape a large-scale data foundation for a mission-critical federal program while leading engineers through complex technical challenges.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where cloud architecture was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where cloud native was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Engineering, Cloud Architecture, Data Pipelines, Data Governance, and Cloud Native. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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