Remote Databricks Data Engineer for Scalable Pipelines

KeyLogic, LLC; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

KeyLogic is seeking Databricks Engineers to join our team supporting the Department of Energy (DOE). This remote U.S. position requires U.S.

Citizenship and offers the chance to work on large-scale data platforms with Delta Lake, DLT, Apache Spark, and Unity Catalog in a government contracting context. You will design, build, and maintain scalable data pipelines using Databricks, implement infrastructure as code with Terraform, and collaborate with cross-functional teams to deliver reliable data

Qualifications

• Requires U.S. Citizenship and 2+ years of Databricks engineering on large-scale big data projects.
• Bachelor's Degree required; 4+ years of Python, Java, or equivalent.
• Experience with government contracting preferred.

Responsibilities

• Design, build, and maintain scalable data pipelines using Databricks.
• Develop and implement infrastructure as code with Terraform.
• Collaborate with cross-functional teams to understand data requirements and deliver robust solutions.
• Optimize data workflows for performance, reliability, and scalability.
• Monitor, troubleshoot, and resolve issues related to data processing and infrastructure.
• Ensure data quality and integrity throughout the data lifecycle.

Skills

Databricks engineering

Python/Java

Big data

Observability

U.S. Citizenship

Education

Bachelor's Degree

Tools

Databricks

Delta Lake

DLT

Apache Spark

Unity Catalog

Terraform

Job description

KeyLogic is seeking Databricks Engineers to join our team supporting the Department of Energy (DOE). This remote U.S. position requires U.S.

Citizenship and offers the chance to work on large-scale data platforms with Delta Lake, DLT, Apache Spark, and Unity Catalog in a government contracting context. You will design, build, and maintain scalable data pipelines using Databricks, implement infrastructure as code with Terraform, and collaborate with cross-functional teams to deliver reliable data