Senior Data Test Engineer – Remote in Winnipeg

Senior Data Test Engineer – Remote in Winnipeg

Winnipeg Full-Time 90000 - 110000 $ / year (est.) Remote
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At a Glance

  • Tasks: Validate data platforms and pipelines using cutting-edge tools like Databricks and PySpark.
  • Company: Join Umanist NA, a forward-thinking tech company with a remote-first culture.
  • Benefits: Enjoy competitive pay, flexible work hours, and opportunities for professional growth.
  • Other info: Work remotely with a dynamic team and explore exciting career advancements.
  • Why this job: Make an impact by ensuring data quality in innovative cloud environments.
  • Qualifications: Experience with data engineering, Python, and cloud technologies is essential.

The predicted salary is between 90000 - 110000 $ per year.

Umanist NA is seeking a Senior Data Test Engineer / SDET to join a remote Canada-based team.

You will leverage data engineering and quality engineering expertise to validate data platforms, pipelines, APIs and backend services.

The role requires hands-on work with Databricks, Py Spark, Python, and Microsoft Azure, plus ETL/ELT validation, data quality checks, and end-to-end testing in cloud environments.

Nice to have: Docker, Kubernetes, Git/Git Hub, and experience in the e-commerce domain.

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Senior Data Test Engineer – Remote in Winnipeg employer: Umanist NA

Umanist NA is an exceptional employer that fosters a collaborative and innovative work culture, allowing Senior Data Test Engineers to thrive in a remote environment across Canada. With a strong emphasis on employee growth, Umanist offers continuous learning opportunities and the chance to work with cutting-edge technologies like Databricks and Azure, making it an ideal place for those seeking meaningful and rewarding careers in data engineering and quality assurance.

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Contact Details:

Umanist NA Recruitment Team

We think you need these skills to ace Senior Data Test Engineer – Remote in Winnipeg

Python
SQL
Communication Skills
Problem-Solving Skills
Data Engineering
ETL/ELT Processes
Data Warehousing