Junior Data Engineer (Databricks)

TL;DR

Junior Data Engineer (Databricks): Developing and optimizing ETL/ELT workflows to transform data into actionable insights for US national security projects with an accent on data integrity and pipeline reliability. Focus on building scalable data pipelines using Python and SQL within the Databricks environment.

Location: Remote (Must have an Active Secret Security Clearance and be based in the US)

Company

hirify.globaloration is a solution-driven company delivering data insights and technology solutions for missions critical to U.S. national interests.

What you will do

• Design and develop ETL/ELT workflows using Databricks to move and transform data efficiently.
• Maintain and enhance existing Python and SQL codebases to ensure pipeline reliability.
• Debug and resolve defects in data processing pipelines under senior guidance.
• Document code changes, data models, and technical processes for team transparency.
• Collaborate with product teams to translate business needs into technical data solutions.

Requirements

• Active Secret Security Clearance is mandatory.
• 2+ years of experience in a data engineering or highly technical data analysis role.
• Proficiency in Python and understanding of Object-Oriented Programming (OOP) patterns.
• Strong foundational knowledge of SQL for querying and data manipulation.
• Hands-on experience with Databricks, Jupyter Notebooks, Pandas, or PySpark.
• Ability to troubleshoot technical issues and process complex data sets.

Nice to have

• Familiarity with PySpark or other distributed computing frameworks.
• Experience with version control systems like Gitlab and project management tools like Jira.

Culture & Benefits

• Opportunity to work on mission-critical projects supporting the US National Defense Strategy.
• Collaborative environment focused on building technology-agnostic solutions.
• Equal opportunity employer providing reasonable accommodations for qualified individuals with disabilities.