Data Engineer - Databricks (Remote)

Lumenalta; Winnipeg; Remote; CAD 90,000 - 115,000; Full time

Benefits offered by this job

Flexible working hours

Health insurance for T4 Employees

Professional development fund

15 days of paid time off

Access to soft-skill development courses

Job summary

A leading data solutions company is seeking a Senior Data Engineer to join their fully remote team. In this role, you will design and build scalable ETL/ELT pipelines using Databricks on AWS, ensuring data quality and collaborating closely with cross-functional teams. The ideal candidate has over 7 years of experience in data engineering and strong skills in Python, SQL, and distributed data processing. The position offers flexible working hours and a competitive benefits package.

Qualifications

• 7+ years of experience as a Data Engineer.
• Strong hands-on experience with Python, SQL, PySpark, Databricks, and AWS.
• Proven experience designing and building end-to-end data pipelines.

Responsibilities

• Design, build, and maintain scalable ETL / ELT pipelines using Databricks, PySpark, and AWS.
• Collaborate closely with product, analytics, and engineering teams.
• Ensure data quality, performance, and reliability.

Skills

Data Engineering

Python

SQL (advanced)

PySpark

Databricks

Tools

AWS

Job description

Data Engineer - Databricks (Remote)

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.

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 AWS. This is a hands‑on senior IC role with strong influence on architecture and implementation.

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

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.

Referrals increase your chances of interviewing at Lumenalta by 2x.

Employment Type

Full‑time

Seniority Level

Mid‑Senior level

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.

Additional Information

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.