Data Engineer

Washington, DCfull time

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On Site

mid

$103k–$196k

H1B: no

Accenture Federal Services Data Engineer at Accenture Federal Services building and optimizing batch and streaming data pipelines for analytics and AI workloads. Collaborate with data scientists and engineers to deliver high-quality curated datasets and maintain data governance.

Responsibilities

Core Data & AI Pipeline Development
Build, maintain, and optimize batch and streaming data pipelines to support analytics and AI workloads.
Ingest structured, semi structured, and unstructured datasets from APIs, databases, SaaS systems, streaming feeds, and file based sources.
Transform, clean, enrich, and standardize data using Dataflow (Apache Beam), Dataproc (Spark), BigQuery SQL, and Python.
Deliver high quality curated datasets into BigQuery for analytics, reporting, and machine learning training.
Build and maintain ML ready feature pipelines supporting Data Scientists and ML Engineers.
Data Quality, Governance & Operations
Implement data quality checks, schema validation, and automated testing within pipelines.
Monitor pipeline health and apply observability best practices using Cloud Monitoring and Cloud Logging.
Apply governance, security, and compliance standards including IAM roles, encryption, data masking, and auditing.
Enforce schema evolution policies, metadata management, and lineage tracking using Dataplex/Data Catalog.
Maintain documentation for datasets, transformations, pipeline logic, and operational procedures.

Qualification

Must be a UBachelor’s degree in Computer ScienceHands on experience with BigQueryStrong background in SQLExperience with governanceGoogle Cloud Security toolsMaster’s degree in a technical fieldFamiliarity with Dataplex

Required

Must be a U.S. Citizen with ability to obtain a Public Trust clearance.
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or related technical field.
3–6+ years of hands on experience in data engineering or a similar technical field.
Minimum three years of experience leading technical teams to achieve outcomes.
Experience developing and implementing technical standards for cloud and on prem environments.
Proven experience building production data pipelines on cloud platforms, preferably GCP.
Hands on experience with BigQuery, GCS, Dataflow (Apache Beam), Dataproc (Spark), and Pub/Sub.
Experience preparing ML ready datasets for model training.
Strong background in SQL, Python, distributed data processing, and data modeling.
Experience with governance, security, and compliance frameworks including IAM, encryption, data masking, and auditing.
Familiarity with the following tool categories (VAEC Operational Tools):
Google Cloud Security tools

Preferred

Master’s degree in a technical field.
Previous experience in Federal Government environments.
Knowledge of regulated environments such as FedRAMP, HIPAA, PCI, NIST 800 53, and CIS benchmarks.
Security certifications such as CISSP or CCSP.
Experience with Vertex AI workflows or comparable ML platforms.
Familiarity with Dataplex, data governance frameworks, and metadata management.
Experience with Apache Kafka or other streaming technologies.
Experience with Datastream for change data capture (CDC).

Company

Accenture Federal Services

View company page

10000+ employees

Consulting

Founded 1989

Source: greenhouse

Active within the past hour

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