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Data Engineer; Intermediate to Senior Level

Remote / Online - Candidates ideally in
Winnipeg, Manitoba, A3C, Canada
Listing for: Wawanesa
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-01-04
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 85000 - 115000 CAD Yearly CAD 85000.00 115000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer (Intermediate to Senior Level)

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Data Engineer (Intermediate to Senior Level)

Job :9642

Employment Type: Existing Role

Working Business Language :
English. This role is considered a head-office role and will be required to communicate with internal and external stakeholders across Canada where the primary business language for this role is English. As such, the successful candidate must be fully proficient in English

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan.

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $ 85,000 to $115,000. Candidates with salary expectations outside of the range are still encouraged to apply.

About Us

At Wawanesa, we offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work. You may work from any of the following locations:
Winnipeg, MB;
Vancouver, BC;
Calgary, AB;
Edmonton, AB;
Toronto (North York), ON;
Kitchener.

The Wawanesa Mutual Insurance Company (“Wawanesa Mutual”), founded in 1896, is one of Canada’s largest mutual insurers, with over $3.5 billion in annual revenue and assets of $10 billion (CAD). Wawanesa Mutual, with its National Headquarters in Winnipeg, is the parent company of Wawanesa Life, which provides life insurance products and services throughout Canada, and Western Financial Group, which distributes personal and business insurance across Canada.

Wawanesa proudly serves more than 1.7 million members in Canada, and we are home to more than 3, employees distributed across the Canadian regions and communities where we operate. We give back to organizations that strengthen communities, donating more than $3.5 million annually to charitable organizations, including over $2 million annually in support of people on the front lines of climate change.

We are also proud to be recognized as one of Manitoba’s Top Employers. To learn more visit

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.

Job Overview

We are considering candidates across a range of experience levels (Junior, intermediate and Senior). If you have relevant experience in data engineering and can succeed in the responsibilities outlined, we’d love to hear from you.

The Data Engineer is responsible for building, maintaining, expanding, and optimizing data pipelines, data products and data practices, and then moving these data pipelines effectively into production for key analytics consumers like Actuarial, Data Analysts and ML Engineers to support advanced analytics use cases across the enterprise.

Job Responsibilities
  • Understanding and translating business and functional needs into machine learning problem statements (Senior Level)
  • Creating and maintaining data pipelines
  • Discovering new data acquisition opportunities
  • Automation of the most-common, repeatable, and tedious data preparation and integration tasks
  • Collaboration with business partners, Analytics Exploration and Operations teams in refining their data requirements for various analytics initiatives and their data consumption requirements
  • Renovating the data management infrastructure to drive automation in data integration and management (Senior Level)
  • Ensuring that the data users and consumers use the data provisioned to them responsibly through data governance and compliance initiatives (Senior Level)
  • Promoting the available…
Position Requirements
10+ Years work experience
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