We believe in the power of change, harnessed in ways that matter for our country and communities.
Google Cloud Platform Data Engineer
Location
Virginia
Posted
11 days ago
Salary
$100.2K - $203.4K / year
Seniority
Senior
Job Description
Google Cloud Platform Data Engineer
Accenture Federal Services
• Design, develop, and maintain robust data pipelines and ETL processes that enable seamless integration, cleansing, harmonization, and transformations in large-scale data processing systems and data lakes/data warehouses using GCP native services. • 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. • 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 to streamline the build, test, and deployment processes.
Job Requirements
- 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.
Benefits
- Health insurance
- Flexible working hours
- Professional development opportunities
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