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Data Engineer - Databricks; Remote

Remote / Online - Candidates ideally in
Spokane Valley, Spokane, Spokane County, Washington, 99201, USA
Listing for: Lumenalta
Remote/Work from Home position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer - Databricks (Remote)
Location: Spokane Valley

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.

This is an evergreen role. We continuously meet talented engineers to support upcoming client projects. While there may not be an immediate opening, qualified candidates may be considered for future engagements.

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

This is a fully remote position open to candidates based in Latin America (LATAM). While location is flexible, candidates must be willing to maintain at least a 6-hour overlap with core business hours, which are primarily aligned with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with project teams.

Final date to receive applications

This role is an evergreen position with no predetermined start date. Applications will be accepted until April 30, 2026
. As we continue to build our talent pipeline, the position may be reposted to allow us to connect with additional qualified professionals.

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