Data Engineer - Databricks; Remote

This range is provided by Lumenalta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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.

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 experience required) 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

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

Location:

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

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 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.

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

This is an evergreen opening with no set deadline; we’re always excited to connect with professionals who want to help us build the future.

• Mid‑Senior level

• Full‑time

• Engineering, Information Technology, and Consulting
• IT Services and IT Consulting

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