Lumenalta
Overview
We are seeking a Data Engineer to join our remote team to help solve meaningful problems with clean, scalable data solutions. We work with global enterprises on digital products that reach millions of users, involving large datasets, complex pipelines, and real-world impact across industries. Base pay
$60,000.00/yr - $120,000.00/yr What you’ll do
Join the team as a Senior-Level Data Engineer Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Use tools like PySpark, AWS, and Databricks daily Design, build, and optimize high-performance data pipelines and ETL workflows in Databricks on AWS, ensuring scalability, reliability, and compliance Collaborate with cross-functional teams to integrate and process healthcare datasets, including claims, EHR, and payer-provider data Implement CI/CD pipelines and DevOps best practices to ensure data quality, lineage, and security Deliver data solutions that drive business outcomes for enterprise clients What we’re looking for
7+ years of experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks 8+ years of experience in data engineering, including at least 5 years hands-on with Databricks in AWS environments Proven experience working with healthcare datasets (claims data preferred) and understanding of U.S. regulatory standards such as HIPAA Strong foundation in SQL, ETL/ELT, and data warehousing Familiarity with data governance and quality tools such as AWS Glue Data Catalog or Lake Formation Fluent in English (spoken and written) Location & schedule
This is a fully remote position; 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. This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday. Benefits
Flexible working hours in a remote environment Health insurance (medical and dental) for W2 Employees 401(k) contribution 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 Salary range may be determined by qualifications, expertise, experience, and the role’s scope. We offer competitive pay for this role. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering, Information Technology, and Consulting Industries
IT Services and IT Consulting This is an evergreen opening with no set deadline.
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We are seeking a Data Engineer to join our remote team to help solve meaningful problems with clean, scalable data solutions. We work with global enterprises on digital products that reach millions of users, involving large datasets, complex pipelines, and real-world impact across industries. Base pay
$60,000.00/yr - $120,000.00/yr What you’ll do
Join the team as a Senior-Level Data Engineer Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Use tools like PySpark, AWS, and Databricks daily Design, build, and optimize high-performance data pipelines and ETL workflows in Databricks on AWS, ensuring scalability, reliability, and compliance Collaborate with cross-functional teams to integrate and process healthcare datasets, including claims, EHR, and payer-provider data Implement CI/CD pipelines and DevOps best practices to ensure data quality, lineage, and security Deliver data solutions that drive business outcomes for enterprise clients What we’re looking for
7+ years of experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks 8+ years of experience in data engineering, including at least 5 years hands-on with Databricks in AWS environments Proven experience working with healthcare datasets (claims data preferred) and understanding of U.S. regulatory standards such as HIPAA Strong foundation in SQL, ETL/ELT, and data warehousing Familiarity with data governance and quality tools such as AWS Glue Data Catalog or Lake Formation Fluent in English (spoken and written) Location & schedule
This is a fully remote position; 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. This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday. Benefits
Flexible working hours in a remote environment Health insurance (medical and dental) for W2 Employees 401(k) contribution 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 Salary range may be determined by qualifications, expertise, experience, and the role’s scope. We offer competitive pay for this role. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering, Information Technology, and Consulting Industries
IT Services and IT Consulting This is an evergreen opening with no set deadline.
#J-18808-Ljbffr