Lumenalta logo

Data Engineer - Databricks

Lumenalta
Department:Software Development
Type:REMOTE
Region:Calgary, Alberta
Location:Calgary, Alberta, Canada
Experience:Mid-Senior level
Salary:CAD83,000 - CAD153,000
Skills:
PYTHONSQLPYSPARKAWSDATABRICKSETL
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Job Description

Posted on: October 22, 2025

What we're working on:

We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries. We're seeking a Data Engineer to join our remote team and help us solve meaningful problems with clean, scalable data solutions.

What You'll Do

  • Join the team as a Senior-Level Data Engineer
  • Build and maintain robust ETL pipelines from scratch
  • Work with large, complex datasets using Python and raw SQL
  • Use tools like PySpark, AWS, and Databricks daily
  • Deliver data solutions that drive business outcomes for enterprise clients

What We’re Looking For

  • 7+ years of experience as a Data Engineer
  • Strong Python and SQL skills
  • Hands-on experience with PySpark, AWS, and Databricks
  • Proven experience building ETL pipelines
  • Fluent in English (spoken and written)

The job is 100% Remote; please ensure you have a comfortable office set at your desired work location.

Salary

Salary range: CA$83,000 - CA$153,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.

In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:

  • Flexible working hours in a remote environment.
  • Health insurance (medical, dental, and vision) for T4 Employees
  • A professional development fund to enhance your skills and knowledge.

This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.

At Lumenalta, we are committed to creating an environment that prioritizes growth, work-life balance, and the diverse needs of our team members.

Ongoing recruitment – no set deadline.

Originally posted on LinkedIn

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