Remote Lead Data Engineer - Databricks & PySpark

Lumenalta; Calgary; Remote; CAD 90,000 - 181,000; Full time

Benefits offered by this job

Flexible working hours

Health insurance

Professional development fund

15 days of paid time off annually

Access to soft-skill development courses

Job summary

A technology company is seeking an experienced Data Engineering Lead to guide technical direction for critical initiatives in data engineering. This fully remote position requires 10+ years of experience, strong hands-on expertise in Python, SQL, and data pipeline design, and excellent communication skills. You will architect scalable systems, mentor engineers, and collaborate with various teams to solve impactful data challenges. Flexibility in working hours and a comprehensive benefits package are offered.

Qualifications

• 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).

Responsibilities

• 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.

Skills

Data engineering

Python

SQL

PySpark

AWS

Databricks

Leadership

Communication

Job description

A technology company is seeking an experienced Data Engineering Lead to guide technical direction for critical initiatives in data engineering. This fully remote position requires 10+ years of experience, strong hands-on expertise in Python, SQL, and data pipeline design, and excellent communication skills. You will architect scalable systems, mentor engineers, and collaborate with various teams to solve impactful data challenges. Flexibility in working hours and a comprehensive benefits package are offered.