GCP Data Engineer for Federal Data Pipelines

accenturefederalservices; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Federal benefits package

Job summary

Accenture Federal Services is seeking a data engineer to design and build secure, cloud-native data architectures and pipelines on Google Cloud Platform for federal missions. You will modernize legacy data landscapes to enable advanced analytics and data-driven decision-making across critical programs.

The role emphasizes developing scalable batch and real-time streaming pipelines, implementing governance and secure access, and collaborating with mission stakeholders to refine data models and

Qualifications

• 3–5+ years in data engineering, data warehousing, or big data processing.
• Hands-on GCP experience building data pipelines with BigQuery, Dataflow, or Cloud Composer.
• Strong programming in Python and advanced SQL proficiency.
• Solid grasp of ETL/ELT concepts and tooling.
• Active Top Secret or Interim TS security clearance.

Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT processes that integrate, cleanse, harmonize, and transform data across large-scale data lakes and warehouses using BigQuery, Cloud Storage, Dataflow, Dataproc, and Pub/Sub.
• Apply performance tuning techniques such as partitioning, broadcast joins, caching, and shuffle optimization.
• Integrate data from multiple sources including relational databases, APIs, cloud storage, and streaming systems.
• Migrate legacy data stores and ETL pipelines to modernized, cloud-native architectures on GCP.
• Develop scalable batch and real-time streaming pipelines using Python, SQL, and Apache Beam.
• Implement data governance, data quality checks, and secure access controls aligned with federal security requirements.
• Collaborate with data scientists, infrastructure engineers, and mission stakeholders to refine data models and query performance.
• Architect and maintain CI/CD pipelines that automate build, test, and deployment from development through production.

Skills

Python

SQL

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Composer

ETL/ELT

CI/CD

Data pipelines

Tools

Python tooling

Job description

Accenture Federal Services is seeking a data engineer to design and build secure, cloud-native data architectures and pipelines on Google Cloud Platform for federal missions. You will modernize legacy data landscapes to enable advanced analytics and data-driven decision-making across critical programs.

The role emphasizes developing scalable batch and real-time streaming pipelines, implementing governance and secure access, and collaborating with mission stakeholders to refine data models and