Databricks Data Engineer — Cloud Pipelines for Federal Agencies

accenturefederalservices; United States; On-site; USD 89,000 - 170,000; Full time

Job summary

Accenture Federal Services is seeking a data engineer to design and build data pipelines, ETL processes, and ingestion frameworks in cloud-based environments. You will collaborate with architects, analysts, and DevOps engineers to support analytics, fraud detection, compliance reporting, and operational workloads.

US Citizens with public trust eligibility and hands-on Databricks experience are preferred. The role emphasizes high-quality, reliable transformations, governance, documentation, and

Qualifications

• US Citizen (Public Trust eligible).
• Hands-on experience in Databricks.
• Strong background building mid-senior-level pipelines and ETL processes.
• Experience with cloud-based data systems.
• Ability to ensure high-quality, reliable, and performant data transformations.
• Familiarity with governance-heavy data environments and audit readiness.
• Experience with Palantir and Databricks is preferred.
• Prior experience supporting regulated workloads (fraud, compliance, operations).

Responsibilities

• Design and build data pipelines, ETL processes, and ingestion frameworks.
• Develop transformation logic and optimize data flows for performance and quality in cloud environments.
• Collaborate with architects, analysts, and DevOps engineers to support analytics and operational workloads.
• Troubleshoot pipeline issues and implement monitoring and alerting.
• Align data solutions with governance, documentation standards, and audit requirements.

Skills

Databricks

ETL pipelines

Cloud-based data systems

Job description

Accenture Federal Services is seeking a data engineer to design and build data pipelines, ETL processes, and ingestion frameworks in cloud-based environments. You will collaborate with architects, analysts, and DevOps engineers to support analytics, fraud detection, compliance reporting, and operational workloads.

US Citizens with public trust eligibility and hands-on Databricks experience are preferred. The role emphasizes high-quality, reliable transformations, governance, documentation, and