Posted yesterday
Healthcare Data Engineer
@ XChange Software Inc
Canada
Overview
XChange Software Inc is hiring a Senior Data Engineer on a contract basis to lead enterprise data engineering work in healthcare insurance. The role builds and optimizes scalable data pipelines on AWS and PySpark and aligns data architecture with enterprise solution architecture. Candidates need 8+ years of IT experience, strong AWS data skills and healthcare insurance domain knowledge.
Responsibilities:
- Design, develop, optimize and manage scalable data pipelines
- Lead enterprise-level data engineering initiatives
- Lead and mentor data engineering teams
- Collaborate with business teams on data architecture
- Align data architecture with enterprise solution architecture
Requirements summary:
- 8+ years of IT experience, 5+ in relevant technologies
- Hands-on Python, PySpark, SQL and large-scale data processing
- AWS S3, Redshift, Lambda, EMR, Glue and Airflow experience
- BASH/Shell scripting expertise
- Healthcare insurance domain understanding
- Agile environment experience
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-10
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 8+ years |
| Manages people | Yes |
| Travel | air: none · ground: none |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
XChange Software Inc
| Field | Value |
|---|---|
| Open jobs on Jobsy | 2 |
Senior Data Engineer
Position: Senior Data Engineer
Experience: 8+ Years
Domain: Healthcare
Key Skills: Python, PySpark, SQL, AWS
Job Description:
We are looking for an experienced Senior Data Engineer with strong expertise in Python, PySpark, SQL, and AWS data services to lead enterprise-level data engineering initiatives.
Required Skills:
- 8+ years of overall IT experience with 5+ years in relevant technologies.
- Strong hands-on experience with Python, PySpark, SQL, and large-scale data processing.
- Experience with AWS services: S3, Redshift, Lambda, EMR, Glue, and Airflow.
- Expertise in BASH/Shell scripting.
- Strong understanding of the Healthcare Insurance domain.
- Experience leading data engineering teams and working in Agile environments.
- Ability to design, develop, optimize, and manage scalable data pipelines.
- Experience collaborating with business teams and aligning data architecture with enterprise solution architecture.
Key Requirement: Strong AWS Data Engineering experience combined with Healthcare Insurance domain knowledge and technical leadership.
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