Lead Data Engineer - Databricks (Remote)

What We're Working On

We help global enterprises launch digital products that reach millions of users. Our work spans massive datasets, scalable pipelines, and critical business challenges across industries.

What You’ll Do

• Lead technical direction for data engineering initiatives.
• Architect scalable data pipelines and systems using PySpark, AWS, and Databricks
• Guide and mentor a team of engineers, fostering best practices and code quality
• Collaborate with stakeholders across product, engineering, and data teams
• Solve enterprise-scale data challenges that impact real-world business outcomes

What We’re Looking For

• 10+ years in data engineering or related roles
• Experience leading technical teams or projects
• Strong hands-on expertise in Python, SQL, PySpark, AWS, and Databricks
• Deep understanding of data architecture and pipeline design
• Excellent communication and leadership skills
• 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$90,000 - CA$181,000 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.

Benefits

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.

Position Details

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

Application Deadline

This role is an evergreen position with no predetermined start date. Applications will be accepted until March 29, 2026. As we continue to build our talent pipeline, the position may be reposted to allow us to connect with additional qualified professionals.