Data Engineering Engineer 3

Implement and manage cloud-native data platforms utilizing BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Run, and related services. • Develop reliable ETL/ELT pipelines using Python, SQL, DBT/Dataform, and GCP technologies.

Job Title: Data Engineer
Location: Dearborn, MI. (MUST BE LOCAL)
Job Type: W2 CONTRACT | NO C2C | NO CORP-2-CORP
Expected hours per week: 40 hours per week
Schedule: Onsite
Pay Range: $60-65 an hour 
Job Description:

Responsibilities:
• Design, develop, and maintain scalable data ingestion and transformation pipelines from multiple data sources
• Build and optimize data warehouses, data lakes, and lakehouse solutions
• Develop reliable ETL/ELT pipelines using Python, SQL, DBT/Dataform, and GCP technologies
• Implement and manage cloud-native data platforms utilizing BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Run, and related services
• Automate workflows, improve data quality, and reduce manual processes through engineering best practices
• Partner with architects, developers, and business stakeholders to deliver high-quality data solutions
• Monitor performance, scalability, security, and cost optimization across data platforms

Required Skills:
• Google Cloud Platform (GCP)
• BigQuery
• Cloud Run
• Kafka
• Python
• SQL
• Java
• API Development & Integration
• Cloud Architecture
• Data Pipelines & Data Modeling
• Big Data Technologies
• Agile Development

Nice to Have:
• Dataflow
• Pub/Sub
• Cloud Functions
• DBT or Dataform
• Infrastructure as Code (Terraform, etc.)
• AI/ML data platform experience

Benefits: 80 hours paid time off, medical insurance contributions, dental vision and our 401k retirement savings plan
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