Accenture
Data Engineer
$103K–$196K
Washington, DC +1 · Full-time · Posted Oct 6, 2026
- Location
- Washington, DC
Washington, District of Columbia, United States - Experience
- 3–6+ years in data engineering or a similar technical field; minimum three years leading technical teams.
- Education
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related technical field.
- Visa sponsorship
- Applicants must have U.S. work authorization that does not now or in the future require visa sponsorship; must be a U.S. citizen and able to obtain a Public Trust clearance.
About the job
Builds and operates cloud data pipelines and curated, ML-ready datasets for analytics, reporting, and machine learning workloads.
What you'll do
- Develop, optimize, and troubleshoot batch and streaming pipelines; ingest, transform, and deliver data to BigQuery.
- Implement data quality, governance, security, monitoring, and lineage practices; maintain pipeline documentation and operations.
- Collaborate with data and business teams, manage workflow orchestration and infrastructure as code, and contribute to reviews and agile ceremonies.
What they ask for
- U.S. citizen able to obtain a Public Trust clearance; U.S. work authorization that does not require visa sponsorship now or in the future.
- Bachelor’s degree in a related technical field.
- 3–6+ years of hands-on data engineering or similar experience, including at least three years leading technical teams.
- Production cloud data pipeline experience; hands-on BigQuery, GCS, Dataflow (Apache Beam), Dataproc (Spark), and Pub/Sub; strong SQL, Python, distributed processing, and data modeling.
Nice to have
- Master’s degree in a technical field; federal government or regulated-environment experience.
- Experience with Vertex AI or comparable platforms, Dataplex, streaming technologies, Datastream, BI tools, or data quality frameworks.
Pay
$103,200 — $196,400 USD (base pay)
Tools
BigQuery, GCS, Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, Python, SQL, Terraform
AI focus
Build AI and ML data pipelines, prepare ML-ready datasets and feature pipelines, and support model training.
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