Data Engineer - Databricks (Remote)

Lumenalta; Raleigh (NC); Remote; USD 60,000 - 110,000; Full time

Benefits offered by this job

Flexible working hours

Health insurance (medical and dental)

401K Contribution

Professional development fund

15 days of paid time off

Soft-skill development courses

Job summary

A leading technology company is seeking a Senior Data Engineer to join their remote team. This role involves designing and maintaining scalable ETL/ELT pipelines with Databricks on AWS, requiring 7+ years of Data Engineering experience and proficiency in Python and SQL. Candidates must be based in U.S. time zones and will benefit from flexible working hours, health insurance, and a professional development fund. This is a full-time position aimed at candidates ready to contribute to impactful data solutions.

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.
• Solid understanding of distributed data processing and data modeling.
• Fluent English, both written and spoken.

Responsibilities

• 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.

Skills

Python

SQL (advanced)

PySpark

Databricks

AWS

Data pipeline design

Data modeling

Fluent English

Job description

Join to apply for the Data Engineer - Databricks (Remote) role at Lumenalta

Base pay range

$60,000 - $110,000 per year

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
• Fluent English, both written and spoken

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

• 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

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.

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.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering, Information Technology, and Consulting

Industries

IT Services and IT Consulting