Frontline Data Engineer—Government Databricks

Guidehouse; Washington (District of Columbia); On-site; USD 98,000 - 163,000; Full time

Job summary

Guidehouse seeks a Data Engineer to deploy and support advanced data capabilities with government teams in Washington, DC, and Northern Virginia. You will implement Databricks-based pipelines and collaborate with stakeholders to translate operational needs into scalable solutions.

The role requires an Active Secret clearance, a Bachelor's degree, and experience with Python/Spark for building data solutions, with on-site work as needed.

Qualifications

• Active Secret clearance.
• Bachelor’s degree in a related field.
• Experience directly supporting end users or mission teams.
• Experience with Databricks including pipelines, notebooks, and production workflows.
• Python or Spark experience for building data solutions.
• Ability to work on-site at a government facility in Washington, DC or Northern Virginia when required.

Responsibilities

• Deploy, integrate, and support data and analytics capabilities directly with customer teams.
• Work closely with government stakeholders to translate operational needs into product configurations and scalable technical solutions.
• Implement, test, and optimize data pipelines and analytics workflows within a Databricks-based environment.
• Troubleshoot and resolve production issues, ensuring reliability, performance, and security of deployed features.
• Collaborate with product teams to deliver enhancements, identify gaps, and ensure field feedback informs platform evolution.

Skills

Databricks

Python

Spark

End users support

Education

Bachelor's degree

Job description

Guidehouse seeks a Data Engineer to deploy and support advanced data capabilities with government teams in Washington, DC, and Northern Virginia. You will implement Databricks-based pipelines and collaborate with stakeholders to translate operational needs into scalable solutions.

The role requires an Active Secret clearance, a Bachelor's degree, and experience with Python/Spark for building data solutions, with on-site work as needed.