Remote Data Engineer
Core
Designing, building, and optimizing enterprise ETL/ELT pipelines and data integration workflows across legacy on-premises systems and cloud platforms.
Role type
Senior Data Engineer (Enterprise ETL & Cloud Modernization)
Builds
Enterprise data integration workflows, data pipelines, and modernized analytics data infrastructure.
Domain
Healthcare data engineering, enterprise data platforms, cloud migration.
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Enterprise ETL/ELT architecture, large-scale data platform operations, expert SQL (IBM DB2, SQL Server), IBM DataStage, IBM Workload Scheduler, Oracle GoldenGate, AWS data engineering (S3, Glue, Redshift, Lambda), HIPAA/HITRUST compliance, Agile/DevOps practices.
Preferred skills
Managed services/outsourced delivery leadership, healthcare domain expertise (claims, EMR, population health), modern data stack (Airflow, dbt, Spark, Delta Lake), on-prem to cloud migration leadership, BI tool familiarity (Tableau, BusinessObjects, SAS).
Technologies
Airflow, AWS, AWS Glue, Lambda, Redshift, CI/CD, IBM Db2, IBM DataStage, IBM Workload Scheduler, Oracle GoldenGate, Collibra, SAS, Tableau, UNIX, ServiceNow, Spark, dbt, Delta Lake
Responsibilities
Develop and optimize SQL-based ETL processes and stored procedures; define enterprise data engineering architecture and technology standards; build and maintain data integration workflows with validation controls; oversee platform health, capacity planning, and disaster recovery readiness; lead workload rationalization and pipeline consolidation; assess and promote modern data engineering capabilities; monitor pipeline health and resolve data quality issues; manage Dev, QA, and Prod environments; assist with AWS stabilization post-migration; track work in ServiceNow; collaborate with BI developers for reliable data availability.
Seniority
Senior, hands-on IC with strategic roadmap leadership
