About the role
Senior GCP Data Engineer Location: Remote - Wisconsin based client
Job Type: Contract with potential hire
**Rate: $68.00-$73.00 on W2 basis - no sponsorship available at any time
NO C2C HELP in ANY form** About the Role We are seeking a Senior GCP Data Engineer to design, build, and scale robust data infrastructure across our Google Cloud Platform (GCP) ecosystem. In this role, you will take ownership of end-to-end batch and streaming ETL/ELT pipelines, transforming complex raw data into high-performing, governed datasets that power enterprise analytics, BI, and machine learning models.
Key Responsibilities
- GCP Data Architecture: Design and optimize scalable cloud architectures using BigQuery, Cloud Storage, and Dataproc/Dataflow to support enterprise analytical needs.
- ETL/ELT Pipeline Development: Build, test, and maintain resilient batch and real-time data pipelines using Python and SQL , orchestrating workflows with Apache Airflow / Cloud Composer .
- Performance & Cost Optimization: Continuously monitor and tune BigQuery query performance, pipeline execution speed, and GCP infrastructure cost efficiency.
- Data Governance & Quality: Implement automated data quality checks, access controls, data lineage, and metadata management using Data Catalog .
- DevOps & SDLC Standard: Drive software engineering best practices including containerization ( Docker, Kubernetes ), CI/CD integration, and formal SDLC/ADLC policies.
- Cross-Functional Collaboration: Partner with Data Architects, BI Specialists, Analysts, and Business Stakeholders to deliver scalable data products that drive decision-making.
Required Qualifications
- 8+ years of dedicated experience in Data Engineering building scalable, enterprise platforms.
- Must-Have GCP Expertise: Proven hands-on experience building production data platforms using Google Cloud Platform services.
- Must-Have Orchestration: 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 Qualifications
- 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.
*#TECH
#REMOTE*
#GCP
Millions of jobs, with real people getting hired every day
Questions, answered
Click "Apply with JobAssist" – we tailor your resume and application to this role and submit it for your approval.
Yes. This role at The Planet Group was screened before publishing – we confirmed the employer before listing it.
The employer didn't disclose a salary range for this listing. JobAssist shows pay whenever it's available.
This position can be done from anywhere, with no in-office requirement.
Yes – every application is tailored from your profile and this job's requirements, and you can review and edit before it's sent.