Databricks Developer

Role overview

Build and maintain cloud-based data pipelines using Databricks for public-sector workloads. The work spans ingestion, transformation, and reliability, supporting analytical and operational needs such as fraud detection and compliance reporting. You will coordinate with architecture, analytics, and DevOps colleagues to deliver governed, auditable data systems.

Responsibilities

- Design and develop data pipelines, ETL processes, and ingestion frameworks. - Implement transformation logic and improve end-to-end data flows for performance, reliability, and data quality. - Work with architects, analysts, and DevOps engineers to support analytics, fraud, compliance, and operational use cases. - Diagnose pipeline and ingestion problems and establish monitoring and alerting. - Document solutions and align engineering work with governance and audit requirements.

Requirements

- U.S. citizenship and eligibility for Public Trust. - Hands-on Databricks experience. - Strong experience building data pipelines, ETL processes, and cloud-based data systems at a mid-to-senior level. - Ability to deliver reliable, high-quality transformations and performant data flows.

Nice to have

- Experience with both Palantir and Databricks. - Work supporting regulated use cases such as fraud, compliance, or operations. - Familiarity with governance-intensive environments, including documentation, audit standards, and monitoring.

Benefits and work setup

The listed base pay range is $89,000–$170,200 for roles based in specified U.S. states and Washington, D.C.; compensation varies with location, skills, experience, and role factors. Benefits are offered, but the source does not specify individual plans. The listing says applications are accepted on an ongoing basis.