Databricks Data Engineer - Cloud Pipelines & Analytics

OpenKrill; United States; Remote; 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 environments. You will collaborate with architects, analysts, and DevOps engineers to support analytics, fraud detection, compliance reporting, and operational workloads.

The ideal candidate has hands-on experience with Databricks, builds mid-senior level pipelines, and ensures high-quality, reliable transformations while adhering to governance and audit

Qualifications

• US citizen eligible for Public Trust
• Hands-on Databricks experience
• Strong background building mid-senior level pipelines and ETL in cloud data environments
• Ability to deliver high-quality, reliable data transformations

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

Databricks

Data pipelines

ETL processes

Cloud data systems

Governance & audit

Cross-functional collaboration

Tools

Palantir

Databricks

Job description

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

The ideal candidate has hands-on experience with Databricks, builds mid-senior level pipelines, and ensures high-quality, reliable transformations while adhering to governance and audit