In this Data Platform Engineer position, you will be responsible for designing, developing, and deploying modern data and analytics applications within a secure, mission-critical environment.

RESPONSIBILITIES

• Your work will involve migrating legacy BI and dashboard tools like Qlik to modern, cloud-native solutions, with a focus on platforms like Databricks and Palantir Foundry.
• You will leverage robust CI/CD pipelines and GitLab to deliver high-quality code, adhering to established security policies and compliance standards.
• Operating within classified or air-gapped environments, such as NIPR and SIPR networks, your ability to work across the full technology stack and quickly adapt to new tools will be essential for success.

HERE IS WHAT YOU NEED

• Ability to work onsite near Arlington, VA 20% of the time
• You will need at least 3 years of experience in any of the following:
  • Demonstrated ability to work across platforms, Infrastructure as Code tools, and data pipeline engineering.
  • Scripting experience with Python and knowledge of other modern programming languages.
  • Experience developing and delivering code using modern CI/CD pipelines and version control systems like GitLab.
  • Proven ability to operate within strict security and compliance requirements, such as those found in federal environments.
  • Experience with classified/air-gapped environment setup (NIPR/SIPR) is a strong plus.

BONUS IF YOU HAVE

• Databricks platform experience, including Databricks Apps and Databricks Genie.
• Familiarity with Apache Spark and PySpark.
• Direct experience migrating BI/dashboard tools (e.g., Qlik) to modern cloud-native platforms.
• Familiarity with platform governance and security
• A background in Managed Security Services (MSS).

CLEARANCE

• An active secret clearance is required