Databricks Data Engineer — Cloud Pipelines & Governance

Accenture PLC; Oregon; Hybrid; USD 89,000 - 170,000; Full time

Job summary

Accenture Federal Services seeks a data engineer to design and build resilient data pipelines, ETL processes, and cloud-based data systems to support analytics and mission critical workloads. You will collaborate with architects, analysts, and DevOps to deliver reliable, governance-aligned data flows, monitor performance, and ensure compliance with federal standards.

US citizenship is required; Public Trust eligible; preferred experience includes Databricks and Palantir.

Qualifications

• US Citizen (Public Trust eligible).
• Hands-on experience in Databricks.
• Strong background building mid-senior‑level pipelines, ETL processes, and cloud-based data systems.

Responsibilities

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

Skills

Data pipelines

ETL processes

Cloud data systems

Data governance

Collaboration

Tools

Databricks

Palantir

Job description

Accenture Federal Services seeks a data engineer to design and build resilient data pipelines, ETL processes, and cloud-based data systems to support analytics and mission critical workloads. You will collaborate with architects, analysts, and DevOps to deliver reliable, governance-aligned data flows, monitor performance, and ensure compliance with federal standards.

US citizenship is required; Public Trust eligible; preferred experience includes Databricks and Palantir.