Key skills
CloudETLPythonSparkSQLMLELTData EngineeringAnalyticsBISnowflakeDatabricksdbtFivetranPerformance OptimizationCI/CD
About this role
Role Overview
- Design, develop, and automate ETL/ELT pipelines feeding Snowflake and Databricks
- Build and maintain scalable ingestion pipelines using dbt, Databricks, and Fivetran
- Optimize queries, data partitioning strategies, and schema design for performance and cost
- Partner with BI and ML teams to support analytics and advanced data use cases
- Identify opportunities to improve data infrastructure and implement best-practice solutions
- Troubleshoot data issues and provide technical guidance and support
- Contribute to ongoing improvements in reliability, scalability, and data quality
Requirements
- 5+ years of experience in data engineering with strong Python, SQL, and Spark skills
- Hands-on experience building and automating ETL/ELT pipelines and working with data warehouses
- Solid understanding of data modeling, schema design, and performance optimization
- Experience with cloud-based data platforms such as Databricks and modern storage solutions (e.g., Delta Lake)
- Familiarity with CI/CD, data versioning, and best practices for scalable data infrastructure
- Knowledge of data governance, data quality, and lineage concepts
- Understanding of cloud cost optimization, security, and access control best practices
Tech Stack
- Cloud
- ETL
- Python
- Spark
- SQL
Benefits
- Medical, Dental, and Vision coverage
- Vacation Days
- Sick Days
- 401(k)
- Discount Programs
- Life Insurance
- Disability Insurance
- Employee Assistance Program
- Flexible Spending Account