InductiveHealth · 5 hours ago
Data Engineer
United States
Full-time
Remote
Mid, Senior LevelInductiveHealth is a market leader in software-as-a-service (SaaS) solutions for public health agencies, dedicated to stopping disease through technology. They are seeking a Data Engineer to manage and improve data pipelines, transitioning legacy ETL processes to SQL Server and ensuring the reliability and performance of ETL workflows.
Health CareInformation ServicesInformation Technology
Responsibilities
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
Qualification
Required
Strong hands-on experience with SQL Server development, including advanced T-SQL, query optimization, and performance tuning in production environments
Demonstrated experience designing, maintaining, and modernizing data pipelines and ETL processes, particularly in environments transitioning from legacy architectures to more scalable, maintainable data platforms
Ability to analyze, interpret, and translate legacy data transformation logic (including SAS-based workflows) into modern, SQL-based implementations, with an emphasis on clarity, performance, and long-term maintainability
Experience with SQL Server–based data integration tooling or comparable modern data orchestration frameworks, including support for incremental processing, dependency management, and multi-step pipelines
Familiarity with modern data engineering concepts such as idempotent pipelines, incremental ingestion patterns, schema evolution, and environment-aware deployments
Comfort working within complex, partially undocumented systems and progressively improving them through refactoring, documentation, and automation
Experience supporting and operating production data pipelines, including diagnosing failures, resolving data quality issues, and partnering cross-functionally to restore and improve system reliability
Experience managing data workflows across multiple environments (development, scale, production) with attention to consistency, validation, and release coordination
Strong problem-solving skills with a systems-level mindset, particularly when identifying root causes of performance, scalability, or data integrity issues
Ability to work collaboratively with engineering, product, and support teams while maintaining clear ownership of data platform outcomes
Clear written and verbal communication skills, especially when documenting technical systems and explaining data flows to both technical and non-technical stakeholders
Preferred
Prior experience working with public health data systems, including familiarity with HL7 or similar healthcare data standards
Hands-on experience migrating large, long-lived ETL systems from legacy technologies to SQL Server–based architectures
Deep understanding of ETL performance optimization at scale, including parallel processing and high-volume data loads
Experience designing or improving incremental data ingestion strategies in systems that historically relied on full refreshes
Demonstrated ability to bring structure to undocumented or tribal-knowledge-heavy systems through clear documentation and process improvement
Experience implementing robust logging, monitoring, and alerting for data pipelines
Comfort balancing project-based migration work with ongoing production support responsibilities
Ability to proactively identify risks in data workflows and address them before they impact downstream systems or customers
Experience serving as a technical owner or go-to expert for critical data infrastructure
Benefits
Flexible Paid Time Off (PTO)
401(k) retirement plan with corporate matching
Medical, prescription, vision, and dental coverage (multiple plans based on your needs)
Short Term and Long Term Disability (for employee)
Life Insurance (for employee)
New Team Member support for home office setup
Company
InductiveHealth
InductiveHealth Informatics helps to keep people safe from infectious disease by solving complex public health technology problems for governments around the globe.
Founded in 2013
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Matthew Dollacker
Executive Chairman of the Board of Directors
Recent News
Company data provided by crunchbase