[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. The Planet Group is seeking a Senior GCP Data Engineer to design, build, and scale robust data infrastructure across Google Cloud Platform. The role focuses on developing batch and streaming ETL/ELT pipelines, optimizing cloud data platforms, implementing governance and quality controls, and delivering data products for enterprise analytics, business intelligence, and machine learning.
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
Skills
- 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
- 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
Benefits
- Remote work from Wisconsin
- Contract with potential hire
Company Overview