Data Engineer

About the Role

Senior GCP Data Engineer – Remote (Wisconsin based client). Contract with potential hire.

Pay

Rate: $68.00‑$73.00 on W2 basis; no sponsorship available; no C2C.

Responsibilities

• Design and optimize scalable cloud architectures using BigQuery, Cloud Storage, and Dataproc/Dataflow to support enterprise analytical needs.
• Build, test, and maintain resilient batch and real-time data pipelines using Python and SQL, orchestrating workflows with Apache Airflow / Cloud Composer.
• Continuously monitor and tune BigQuery query performance, pipeline execution speed, and GCP infrastructure cost efficiency.
• Implement automated data quality checks, access controls, data lineage, and metadata management using Data Catalog.
• Drive software engineering best practices including containerization (Docker, Kubernetes), CI/CD integration, and formal SDLC/ADLC policies.
• Partner with Data Architects, BI Specialists, Analysts, and Business Stakeholders to deliver scalable data products that drive decision‑making.

Qualifications

Required:

• 8+ years of dedicated experience in Data Engineering building scalable, enterprise platforms.
• Proven hands‑on experience building production data platforms using Google Cloud Platform services.
• Strong expertise with Apache Airflow (or Cloud Composer).
• Advanced proficiency in SQL and Python for data transformations and pipeline engineering.
• Strong foundation in data warehousing (dimensional modeling, star schema), distributed systems, and modern cloud ETL/ELT architecture.

Preferred:

• Deep experience across the full GCP data stack (BigQuery, Dataflow, Dataproc, Cloud Storage, Data Catalog).
• Experience with Docker, Kubernetes, and CI/CD deployment pipelines.
• Knowledge of supporting machine learning feature stores and ML model deployment workflows.
• Experience creating formal SDLC/ADLC policies, data governance frameworks, and security standards.