InductiveHealth Informatics

Data Engineer

• Lead the continued transition of legacy SAS-based ETL processes to SQL Server, completing remaining migrations and validating results through parallel processing and data reconciliation.
• Translate undocumented or minimally documented legacy ETL logic into maintainable, fault tolerant SQL Server and SSIS workflows.
• Improve and standardize incremental data processing patterns, reducing reliance on full data refreshes and destructive reload processes.
• Own the reliability and performance of ETL pipelines by identifying and resolving bottlenecks, particularly in high-volume and performance-sensitive workflows.
• Investigate and correct data flow issues that prevent records from consistently reaching downstream systems across environments.
• Support production data operations by partnering with product, engineering, and support teams to triage and resolve data-related issues and support tickets.
• Participate in regular operational check-ins and serve as a primary escalation point for ETL and data pipeline concerns.
• Document ETL logic, dependencies, and operational processes to reduce institutional knowledge risk and improve long-term maintainability.
• Introduce improved logging, monitoring, automation, and repeatability across data integration workflows.
• Collaborate with engineering peers and domain experts to establish clearer ownership and standards for ETL and data pipeline practices.