Internal to eHS - Senior Data Engineer

Employment Type: Permanent Full-time

Location(s): SK

Salary Range: $45.727 - $55.637 Hourly

Salary Supplement: included in hourly salary range (in-scope)

About eHealth

As leaders in digital health innovation, we transform health care through connected health systems and advancing technology. With over 800 employees across 20 communities, we support IT infrastructure in 433 healthcare locations, ensuring seamless information-sharing and timely, effective patient care. We value a culture of strategic collaborating, trust and open dialogue. Our goal is to make Saskatchewan a leader and catalyst in digital health transformation, reshaping health care for the future. Help us put Saskatchewan at the forefront of digital health innovation.

About the Role

As a Senior Data Engineer, you will design and build the data infrastructure that powers analytics, reporting, and research across Saskatchewan’s health system. You’ll develop scalable ETL solutions and modern data models that enable trusted, high-quality data to flow securely from a wide variety of sources into the Provincial Data Platform. Your work will directly support initiatives that improve health system decision-making and enable impactful research in secure environments. This role is ideal for a technical leader who enjoys solving complex data challenges and mentoring others to deliver reliable, well-governed data products.

What You’ll Do

Reporting to the Manager, Data Management, you will:

• Design and build robust data pipelines and ETL/ELT solutions using IDMC, SQL, SSIS, Python, APIs, and other integration technologies including Fabric data integration tools and version control tools like Git and deployment pipelines.
• Architect and develop relational and dimensional data models (e.g., star/snowflake schemas, facts, cubes, SCD) aligned to data management frameworks and platform standards.
• Optimize and automate data processes to improve scalability, performance, reliability, and timeliness of data delivery.
• Maintain and support the ETL environment, including monitoring, troubleshooting, debugging, and backup/recovery operations.
• Analyze and validate datasets to ensure alignment with data architecture guidelines and compliance with data sharing agreements and legislative restrictions.
• Collaborate with eHealth teams and health system partners to gather requirements and translate business needs into technical solutions.
• Mentor and support Information Analysts and junior Data Management resources through coaching, knowledge sharing, and technical guidance.

What You’ll bring to the Team

• Degree in Computer Science or a related discipline (e.g., community health sciences, health economics, biomedical statistics, epidemiology, statistics, mathematics).
• Minimum 5 years in a Data Engineer (or similar) role in an integrated support environment, delivering complex data solutions. An equivalent combination of education and experience may be considered.
• Technical expertise with Oracle and/or SQL Server databases, including strong SQL skills and performance tuning concepts.
• Strong ETL experience, using IDMC, SQL, SSIS, Python, APIs, and other integration technologies including Fabric data integration tools and version control tools like Git and deployment pipelines.
• Programming/scripting capability (e.g., PL/SQL, Python, R, shell scripting) to support automation, transformation, and operational support.
• Assets: Experience with Saskatchewan health data; knowledge of cloud data platforms; Microsoft Certified: Azure Data Engineer Associate (or similar) is considered an asset.

Competencies

• Attention to Detail – Demonstrates thoroughness and accuracy, ensuring completeness even in small details.
• Communication – Clearly explains technical information to technical and non-technical audiences in writing and verbally.
• Leadership – Positively influences others, provides guidance, and contributes to team effectiveness.
• Problem Solving – Diagnoses issues efficiently, identifies root cause, and delivers workable solutions in a timely manner.
• Teamwork & Independence – Builds effective working relationships and works autonomously to deliver high-quality service.
• Organizational Skills – Prioritizes and manages workload to meet deadlines in a changing environment; adapts to non-routine assignments.
• Analytical Thinking – Synthesizes complex information and applies it to meet organizational needs within constraints.
• Technical Expertise – Builds and supports data/analytics solutions that improve operational efficiency and enable actionable insights.

As one of Saskatchewan’s Top Employers this is Why You’ll Love Working Here

• Career paths and opportunity for advancement
• Health, dental, and pension benefits
• Maternity and parental leave top-up payments
• Earned days off
• Annual pay increases
• Work that truly matters to the people of Saskatchewan

Ready to make a real impact in healthcare technology? Join us and help shape the future of care—apply today!

We value diversity of all kinds and encourage applications from people of all backgrounds, identities, and experiences.

Grade: SID11]

Anticipated Start Date: April 2026

Location: This position is based on site in Saskatchewan. For roles requiring Regina office space, temporary remote work may be required during our office move. On site work will resume once the new Regina office is ready.

We are committed to workplace diversity.

Number of Openings: 1

Closing Date: Mar 6, 2026, 11:59:00 PM

Contact Us

recruitment@eHealthSask.ca