Senior Data Engineer-Databricks, Snowflake, SQL, ETL,Spark,Data Warehouse
Optum/UHG · Gurgaon, Haryana, India · US
Health Tech
–
Not yet analysed
Demand90
Career growth85
Healthcare fit45
Remote potential70
5-year outlook
Senior data engineers in healthcare tech typically command strong salaries with growth potential, especially with cloud and big data skills. Expect competitive compensation and advancement into lead or architect roles.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
–
Date found
2026-09-23
Intelligence details
Why this is worth applying to
Clinicians with strong data engineering skills and a passion for healthcare data should consider this role—it offers high impact on health outcomes through data infrastructure. However, without prior technical experience, it's not a realistic entry point.
Who should apply
Healthcare professionals with a background in computer science, data engineering, or informatics, and hands-on experience with Databricks, Snowflake, and ETL pipelines.
CV angle
Emphasize any healthcare domain knowledge (e.g., claims data, clinical data) alongside technical skills. Frame clinical experience as domain expertise that enhances data interpretation and stakeholder communication.
Skills to highlight
- ETL development
- SQL
- Databricks
- Snowflake
- Spark
- Airflow
- Azure cloud
- CI/CD pipelines
Role summary
A senior data engineering role at Optum focused on building and maintaining scalable data pipelines, ETL processes, and cloud infrastructure to support healthcare analytics and AI solutions.
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