Accenture

Data Engineer

$103K–$196K

Washington, DC +1 · Full-time · Posted Oct 6, 2026

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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.

About the job

Builds and operates cloud data pipelines and curated, ML-ready datasets for analytics and AI workloads, with responsibility for data quality, governance, security, and team collaboration.

What you'll do

Develop, optimize, and troubleshoot batch and streaming pipelines that ingest, transform, and deliver data to BigQuery.
Implement pipeline quality checks, monitoring, governance, security, and documentation; maintain orchestration and infrastructure automation.
Collaborate with data and business teams, participate in technical reviews and agile ceremonies, and lead technical teams to outcomes.

What they ask for

U.S. citizenship and ability to obtain a Public Trust clearance; work authorization that will not require visa sponsorship.
Bachelor’s degree in a related technical field.
3–6+ years of hands-on experience in data engineering or a similar technical field, 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 experience, plus SQL, Python, and data governance/security experience.

Nice to have

Master’s degree in a technical field; prior Federal Government experience.
Experience with Vertex AI or comparable ML platforms, Dataplex, Apache Kafka, Datastream, Terraform, CI/CD, or data quality frameworks.

Pay

$103,200 — $196,400 USD (base pay)

Tools

BigQuery, GCS, Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, Python, SQL, Cloud Composer (Airflow)

AI focus

Builds data and feature pipelines and ML-ready datasets for analytics and AI workloads, including model training.

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