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Data Engineer - Databricks (Remote)Lumenalta • United States
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Data Engineer - Databricks (Remote)

Lumenalta
  • US
    United States
  • US
    United States
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Über

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.
Application Deadline 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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  • United States

Sprachkenntnisse

  • English
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