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Data Engineer

Job in Burnaby, BC, Canada
Listing for: BC NURSES UNION
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 125000 - 140000 CAD Yearly CAD 125000.00 140000.00 YEAR
Job Description & How to Apply Below
Job Description
Posted Thursday, July 16, 2026 at 10:00 AM

The BC Nurses’ Union (BCNU) is a strong, dynamic voice for nurses and nursing in British Columbia, representing more than 50,000 members. BCNU provides collective agreement negotiation and support to its members, as well as professional and advocacy services in the field of research, clinical practice, leadership and education. As the voice of the nursing profession in the province, we advocate for nurses and patients to ensure safe, quality, public health care for all.

Job Title:

Data Engineer
Status:  Excluded-Full-Time
Reporting To:  Director, Technology & Data Strategy
Salary Range:  $125,000 to $140,000 annually

Position Overview
The Data Engineer is responsible for the design, development, and ongoing evolution of the organization’s data platform, integration capabilities, and foundational data infrastructure. This role plays a key part in the organization’s broader technology modernization and data strategy initiatives.

Working within the IT department, the Data Engineer will support the integration and flow of information across business systems, applications, and data sources to improve operational efficiency and organizational decision-making. The role combines hands‑on implementation and delivery with longer‑term platform and data capability development, including building and maintaining data pipelines, supporting data warehousing initiatives, and enabling business intelligence and analytics capabilities across the organization.

The Data Engineer will collaborate with leadership, technical staff, vendors, and business partners to help establish scalable and sustainable data capabilities. The role will also help drive the organization’s exploration, evaluation, and adoption of practical AI‑enabled solutions and related technologies.

This role is well suited to a pragmatic, self‑directed technology professional who enjoys building foundational systems, solving complex integration and data challenges, and helping organizations modernize their technology capabilities.

Key Responsibilities
Data Platform & Integration Development

Designs, develops, implements, and maintains data pipelines, integrations, and workflows across organizational systems and applications.

Supports the development and ongoing evolution of the organization’s data warehouse and related data platform capabilities.

Develops and maintains processes that improve the accessibility, reliability, and usability of organizational data.

Supports integration efforts between CRM, ERP, business applications, cloud platforms, databases, APIs, and related systems.

Monitors, troubleshoots, and optimizes data flows, integrations, and platform performance.

Collaborates with vendors and technical teams to support system integrations, upgrades, and platform enhancements.

Evaluates and recommends modern data technologies, tools, and architectural approaches that align with organizational goals and operational needs.

Participates in platform, tooling, and architectural discussions related to the organization’s evolving data strategy.

Data Management & Analytics Enablement

Supports the organization’s reporting, analytics, and business intelligence capabilities through the delivery of reliable and well‑structured data solutions.

Develops and maintains data models, transformations, and supporting structures used for analytics, reporting, and operational insights.

Supports the improvement of data quality, consistency, and reliability across systems and integrations.

Assists with the preparation of datasets, reports, dashboards, and data extracts to support operational and strategic decision‑making.

Collaborates with interest holders to identify opportunities for workflow automation, process improvement, and operational efficiencies enabled through improved data capabilities.

Supports the establishment of foundational practices related to data management, documentation, and sustainable platform operations.

Helps drive the organization’s exploration, evaluation, and adoption of practical AI‑enabled solutions and related technologies.

Identifies opportunities where AI, automation, or modern data capabilities…
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