Data Engineer - Databricks (Remote)

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.