Junior Data Engineer

About the Organization Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets. About the Role Redhorse is seeking a highly motivated Junior Data Engineer to join our team supporting the US National Defense Strategy. In this role, you will play a vital part in transforming data into actionable insights that directly impact national security and the modernization of critical defense systems. If you are a problem-solver passionate about leveraging data to support mission-critical objectives, we encourage you to apply and grow your career with us. Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class. Accommodations: If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at [email protected] Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion. Key Responsibilities Assist in the design and development of ETL/ELT workflows using Databricks to move and transform data efficiently. Maintain and enhance existing Python and SQL codebases, ensuring data integrity and pipeline reliability. Debug and resolve defects in data processing pipelines under the guidance of senior team members. Clearly document code changes, data models, and technical processes to ensure team transparency. Work closely with other data engineers and product teams to translate basic business needs into technical solutions. Required Experience/Clearance Must have an Active Secret Security Clearance. (Applicants without this clearance will not be considered). 2+ years of experience in a data engineering or highly technical data analysis role. Proficiency in Python, including familiarity with modular code structures. Understanding of Object-Oriented Programming (OOP) patterns. Strong foundational knowledge of SQL for querying and basic data manipulation. Exposure to or hands-on experience with Databricks or Jupyter Notebooks, and Pandas or PySpark or similar cloud-based data environments. Demonstrated ability to troubleshoot technical issues and process complex data sets. Desired Experience Familiarity with PySpark or other distributed computing frameworks. Familiarity with version control systems like Gitlab and project management tools like Jira.

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