Aptive
Health IT Data Engineer
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it yesterday · Added yesterday
First listed yesterday.
Not currently available on Nomaders
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Browse open rolesSalary
Not stated
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Mid
Category
Data
This employer didn't state pay. Jobs like this usually pay around $115k–$225k a year, a typical range taken from 169 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "United States"
- Job description states: "authorization to work in the U.S."
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Job Summary
Health IT Data Engineer
Job Summary
Aptive is seeking a Health IT Data Engineer to provide advanced data engineering and analytics infrastructure support for the ICE Health Service Corps (IHSC) Health Information Technology Unit (HITU) IT modernization and enterprise data environments. This role designs, builds, configures, and maintains secure and reliable data pipelines, data structures, and integration workflows that enable analytics, reporting, and operational insight across IHSC clinical, operational, and administrative domains.
This is an extract of the advert. Read it in full on Himalayas.
Requirements
- ·Advanced experience with SQL, relational databases, and data modeling.
- ·Experience designing ETL/ELT pipelines and data integration workflows, including scripted development (e.g., Python).
- ·Familiarity with cloud-based analytics and data platforms.
- ·Understanding of healthcare or enterprise data environments.
- ·Strong analytical, problem-solving, and documentation skills.
Benefits
No benefits package published with this listing. Ask about it at first interview.
Applying
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Found 2d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Himalayas.
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