Data Engineer- Contract
Health Catalyst · Singapore
Software Engineering
Remote
Not yet analysed
Demand78
Career growth76
Healthcare fit38
Remote potential55
5-year outlook
Data engineering skills remain in strong demand, and healthcare data platform experience is likely to stay valuable. Contract compensation may be competitive, but no salary range or benefits are provided, so total compensation is unclear.
Clinical license
Not required
Applicant reach
narrow
Seniority
mid
Employment type
–
Date found
2026-10-29
Intelligence details
Flexible work details
- Engagement type
- Contract
- Hours
- Variable hours
- Rate period
- Annual
Why this was classified this way
- Contract
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Only clinicians with genuine prior SQL, ETL, database, or data engineering experience should consider this role. It is not a practical entry point for most clinicians seeking a first non-clinical move without technical training.
Who should apply
Clinicians who have already worked in health informatics, clinical data engineering, EHR/claims data integration, or healthcare analytics and can demonstrate production SQL and ETL experience.
CV angle
Frame real clinical and informatics experience around healthcare data projects: EHR extracts, claims or quality datasets, SQL queries, data validation, HIPAA-compliant handling, stakeholder communication, and any production ETL or database work. Emphasize measurable data integration or reporting outcomes without overstating engineering ownership.
Skills to highlight
- SQL optimization
- ETL pipeline development
- Data integration
- Relational database design
- NoSQL databases
- Azure cloud exposure
- HIPAA/data security
- Healthcare data standards such as HL7 and EDI X12
Role summary
A contract data engineering role at a healthcare performance improvement company, focused on integrating data from multiple source systems, building ETL pipelines, designing scalable database solutions, optimizing SQL, and ensuring data quality, security, and HIPAA compliance.
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