Senior Data Engineer
Hybrid · Hudson, Ohio, United States
Job Summary
Senior Data Engineer to modernize our enterprise data platform on AWS/Databricks. Design, develop, and optimize ETL/ELT pipelines using SQL, Python, Talend, and Databricks; lead migration of data systems from DB2/SQL Server to Databricks and replace Talend with Databricks-native processes; establish data quality, observability, and lineage standards; design data models for analytics; mentor junior engineers and contribute to engineering standards. Hybrid work environment in Hudson, OH with collaboration across Analytics, Product, and business stakeholders to deliver reliable, well-governed data across the organization.
Required Qualifications
- 5+ years of experience in data engineering, data warehousing, or enterprise ETL/ELT development
- Advanced SQL and experience with relational databases including SQL Server and DB2
- Hands-on experience with Databricks — Lakehouse architecture, Unity Catalog, Delta Lake, S3, and IAM
- Proficiency in Python for pipeline development, automation, and data processing
- Strong data modeling, query optimization, and performance tuning skills
- Experience with Git/GitHub and collaborative development workflows
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