Senior Data Engineer — Databricks on AWS (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

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.