Senior Data Engineer - Databricks on AWS

Lumenalta United State
Remote
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AI Summary

Design, build, and maintain scalable data pipelines using Databricks, PySpark, and AWS. Collaborate with cross-functional teams to translate business needs into technical solutions. Ensure data quality, performance, reliability, and cost efficiency.

Key Highlights
Design and build end-to-end data pipelines
Collaborate with cross-functional teams
Ensure data quality, performance, reliability, and cost efficiency
Key Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines
Work with large, complex datasets in production environments
Collaborate closely with product, analytics, and engineering teams
Technical Skills Required
Python SQL PySpark Databricks AWS
Benefits & Perks
Flexible working hours
Health insurance
401K Contribution
Professional development fund
15 days of paid time off annually

Job Description


About the Role

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
  • Strong communication skills
  • Fluent English, both written and spoken



Salary

Salary range: $60,000 - $110,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.


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.


Benefits

In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:

  • Flexible working hours in a remote environment.
  • Health insurance (medical and dental) for W2 Employees.
  • 401K Contribution.
  • 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.


Position Details

This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.

At Lumenalta, we are committed to creating an environment that prioritizes growth, work-life balance, and the diverse needs of our team members.


Application Deadline

This role is an evergreen position with no predetermined start date. Applications will be accepted until March 29, 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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