Job Description
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
- Fluent in English (spoken and written)
Location Requirements
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.
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
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.
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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