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Data Engineer - Databricks; Remote

Remote / Online - Candidates ideally in
Vancouver, BC, Canada
Listing for: Lumenalta
Remote/Work from Home position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 83000 CAD Yearly CAD 83000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer - Databricks (Remote)

Data Engineer - Databricks (Remote) | Lumenalta

Base pay range:
CA $83,000.00/yr - CA$/yr

About the Role

We work with global enterprises to design and build data platforms that power digital products used by millions of users. Our projects involve large-scale datasets, complex distributed pipelines, and real business impact.

We’re looking for a Senior Data Engineer to join our remote team and take ownership of building and scaling data solutions using Databricks on AWS
. This is a hands‑on senior IC role with strong influence on architecture and implementation.

What You'll Do
  • Design, build, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and AWS
  • Work with large, complex datasets in production environments
  • Write clean, efficient, and maintainable Python and advanced SQL
  • Build pipelines from scratch
    , not just maintain existing ones
  • Ensure data quality, performance, reliability, and cost efficiency
  • Collaborate closely with product, analytics, and engineering teams to translate business needs into technical solutions
  • Contribute to architectural decisions and data engineering best practices
What We’re Looking For
  • 7+ years of experience as a Data Engineer
  • Strong, hands‑on experience with Python, SQL (advanced), PySpark, Databricks (production), and AWS
  • Proven experience designing and building end‑to‑end data pipelines
  • Solid understanding of distributed data processing and data modeling
  • Fluent English, both written and spoken
Location

This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern US time zones to ensure effective collaboration with client and team schedules.

Benefits
  • Flexible working hours in a remote environment.
  • Health insurance (medical and dental) for T4 Employees.
  • A professional development fund to enhance your skills and knowledge.
  • 15 days of paid time off annually.
  • Access to soft‑skill development courses to further your career.
Job Details
  • Seniority level:
    Mid‑Senior level
  • Employment type:

    Full‑time
  • Job function:
    Engineering, Information Technology, and Consulting
  • Industries: IT Services and IT Consulting
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