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Senior Data Engineer
IKS HealthSenior Data Engineer developing AI and machine learning infrastructure for healthcare data. Collaborating with engineers and scientists to support data-driven healthcare solutions.
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheBigQueryCloudETLPythonSQL
About the role
Key responsibilities & impact- Design, develop, and maintain robust ELT/ETL pipelines ingesting clinical, claims, and operational data
- Build and optimize data models in cloud-based data warehouses
- Implement and manage orchestration frameworks to ensure reliable data workflows
- Develop streaming and real-time data pipelines
- Ensure all data systems comply with HIPAA, HITECH, and applicable state privacy regulations
Requirements
What you’ll need- 5+ years of professional data engineering experience
- Advanced proficiency in Python and SQL
- Hands-on experience with a modern data warehouse platform (Snowflake, BigQuery, or Redshift)
- Strong experience with workflow orchestration tools (Apache Airflow, Prefect, or Dagster)
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
Benefits
Comp & perks- healthcare
- 401 (k)
- paid time off
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLELTETLdata modelingdata pipelinesstreaming datareal-time dataworkflow orchestrationdata engineering
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in Software EngineeringMaster’s degree in Software Engineering