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# Google Cloud Platform (GCP) Data Engineer

- **Company:** Accenture
- **Location:** Arlington, VA, United States
- **Experience:** Experienced
- **Salary:** $100,200.0 - $203,400.0
- **Contract:** Contract
- **Skills:** Query Performance, Application Programming Interfaces (APIs), Airflow, Big Data, BigQuery, Cloud Computing, Cloud Engineering, Cloud Storage, Computer Programming, Databases, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Stores, Data Systems, Data Warehousing, Relational Databases, Data Flow Control, Python (Programming Language), Microsoft SQL Server, Oracle (Applications), Performance Tuning, Cloudera, SQL Databases, Data Streaming, Google Cloud, Data Strategy, Data Lakes, Data Pipelines, Apache Beam
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/1_accentureghi3-4695125006

## About the Role

Implement data governance, data quality checks, and secure data access controls in alignment with strict federal security requirements. + Collaborate with data scientists, cloud infrastructure engineers, and mission stakeholders to optimize data models and query performance. + Design and Implement **CI/CD Pipelines** : Architect and build robust, automated CI/CD pipelines to streamline the build, test, and deployment processes from development through to production environments. **Here's what you'll need** : + 3 to 5+ years of experience with **data engineering** , data warehousing, and/or big data processing. + 2+ years of hands-on experience building data pipelines and/or data solutions on **Google Cloud Platform** (BigQuery, Dataflow, and/or Cloud Composer). + Strong programming skills in **Python** and advanced proficiency in SQL. + Experience with **ETL/ELT** concepts and tools. **Bonus points if you have** : + Google Cloud Professional Data Engineer Certification. +
Experience with migrating legacy relational databases (e.g., Oracle, SQL Server) to cloud-native databases (e.g., Cloud SQL, AlloyDB, Spanner). + Familiarity with federal data strategies, RMF, and Impact Level 4/5 (IL4/IL5) security and compliance standards. **Security clearance** : + Active Top Secret (TS) or Interim TS security clearance is required.

## Description

In this role, you will be responsible for designing and building robust, secure data architectures and pipelines on GCP. You will help modernize federal data landscapes, enabling advanced analytics and data-driven decision-making for critical mission objectives. **The work you'll do** : + Design, develop, and maintain robust data pipelines and ETL processes that enable the seamless integration, cleansing, harmonization, and transformations in large-scale data processing systems and data lakes/data warehouses using GCP native services (BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub). + Implement performance tuning (partitioning, broadcast joins, caching, shuffle optimization). + Integrate data from multiple sources (databases, APIs, cloud storage, potentially streaming). + Migrate legacy data stores and ETL pipelines to modernized, cloud-native architectures on GCP. + Develop scalable batch and real-time streaming data pipelines using Python, SQL, and **Apache Beam** . +