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# Senior GCP Data Engineer

- **Company:** Peoplentech Llc
- **Location:** Alexandria, VA, United States
- **Experience:** Expert
- **Salary:** $124,800.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Airflow, Big Data, BigQuery, Cloud Computing, Cloud Storage, Databases, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Security, Database Theory, Data Flow Control, Fraud Prevention and Detection, Python (Programming Language), PostgreSQL, Machine Learning, Meta-Data Management, Neo4j, Performance Tuning, Systems Development Life Cycle, Software Deployment, SQL Databases, Scripting, Feature Engineering, Integration Tests, Deployment Automation, Data Management, Machine Learning Operations, Dataiku, Software Coding, Restful APIs, Data Pipelines, Serverless Computing, Control M
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-gcp-data-engineer-alexandria-va--02656a67-60ea-4123-af8c-ae74ac99c86a

## About the Role

GCP (Good Clinical Practices), GCP (Good Clinical Practices), Cloud Computing, Python Programming/Scripting Language, Data Management, Database Extract Transform and Load (ETL), Cloud Storage, Scalable System Development, Training Data Sets, Data Modeling, * Design, develop, and maintain scalable ETL/data pipelines on GCP using Python, Dataflow, BigQuery, Cloud Storage, Composer/Airflow, and Control-M to support fraud analytics, ML, and enterprise data initiatives.

 * Build and optimize ML-ready datasets, feature engineering pipelines, and reusable data assets for model training, validation, and production deployment.
 * Develop high-quality Python solutions following coding standards, security best practices, resiliency, reliability, and performance optimization principles.
 * Strong expertise in SQL, BigQuery/PostgreSQL, data modelling, database concepts, and large-scale data processing.
 * Implement data quality, reconciliation, lineage, metadata management, governance, and monitoring controls to ensure trusted and auditable data pipelines.
 * Design and support CI/CD-enabled data engineering platforms, automated deployments, and integration with enterprise data ecosystems including Dataiku, Neo4j, REST APIs, and cloud-native services.
 * Collaborate with Data Scientists and ML Engineers to support feature availability, data access, pipeline orchestration, integration testing, and ML operationalization.
 * Strong analytical, problem-solving, and troubleshooting skills; exposure to GenAI use cases and MLOps ecosystems is a plus.

Preferred Experience

 * Overall 10+ years of experience
 * 5+ years on GCP Data Engineering
 * 5+ years with Python/Dataflow-based ETL development
 * 3+ years with Composer/Airflow, BigQuery/PostgreSQL, and Google Cloud Storage
 * Experience supporting fraud detection, risk analytics, or ML data platforms preferred.