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About
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 Azure . This is a hands‑on senior IC role with strong influence on architecture and implementation.
Future Opportunity Role – Talent Pipeline We continuously meet talented engineers to support upcoming client projects. While there may not be an immediate opening, qualified candidates may be considered for future engagements.
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 Azure
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 .
Application Deadline This role is a future opportunity position with no predetermined start date. Applications will be accepted until
May 31, 2026 . As we continue to build our talent pipeline, the position may be reposted to allow us to connect with additional qualified professionals.
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Languages
- English
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