Quick Overview
Job Description
The work:
Key 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.
Here is what you need:
- US Citizen (Public Trust eligible)
- Hands‑on experience in Databricks
- Strong background building mid‑senior‑level pipelines, ETL processes, and cloud‑based data systems.
- Ability to ensure high‑quality, reliable, and performant transformations and data flows.
Preferred experience:
- Experience with both Palantir and Databricks
- Prior experience supporting regulated workloads (fraud, compliance, operations).
- Familiarity with governance‑heavy data environments (documentation, audit standards, monitoring).
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
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