Data Engineer
Auburn Hills, MI, US
R
USD 160K-200K (estimate) Senior-level Full Time
Tasks
- Build CI CD pipelines for data and ML
- Design ETL ELT data pipelines
- Develop MLOps workflows with MLflow
- Develop batch and streaming data workflows
- Document technical designs data models and workflows
- Ensure data quality integrity and governance
- Implement data Lakehouse solutions
- Implement data monitoring and alerting
- Implement data security access controls and masking
- Integrate Databricks with cloud platforms
- Manage and optimize Databricks clusters jobs and workflows
- Monitor and troubleshoot pipeline and model performance
- Write PySpark and SQL data transformations
Perks/Benefits
- 401k match
- Continuing education support
- Employee assistance program
- Flexible spending accounts
- Generous paid time off
- On-site gym
- Paid Holidays
- Paid parental leave
- Pet insurance discount
- Pet-friendly office
- Premium medical/dental/vision insurance
- Referral program
- Top of the line equipment
Skills/Tech-stack
AWS | Apache Spark | Azure | CI/CD | DBT | Data Governance | Data Modeling | Data Quality | Databricks | Delta Lake | Docker | GCP | Infrastructure as Code | Kafka | Kinesis | Kubernetes | MLflow | Observability | PySpark | SQL | Terraform | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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