Google Cloud Platform Data Engineer

Accenture Federal Services

GCP Data Engineer doing robust data architecture and pipelines for federal data migration. Collaborating on critical mission objectives and developing secure data solutions.

Posted 7/20/2026full-timeRemote • Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $100,200 - $203,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing data pipelines and ETL processes on Google Cloud Platform, with a strong focus on data governance, quality, and security. Proficient in implementing scalable solutions using Python and SQL, while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Data EngineeringGoogle Cloud PlatformPython ProgrammingSQL ProficiencyETL/ELT Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentETL ProcessesData WarehousingBig Data ProcessingPerformance TuningData GovernanceData Quality ChecksBatch ProcessingReal-Time StreamingCloud-Native Architectures

Soft Skills

CollaborationCommunication

Tools & Technologies

BigQueryDataflowCloud ComposerApache Beam

Industry Keywords

Data LakesData WarehousesCloud StorageAPIsFederal Security Requirements

Tech Stack

Tools & technologies

ApacheBigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

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.

Benefits

Comp & perks

Health insurance
Flexible working hours
Professional development opportunities