Junior Data Engineer
Job Description
Junior Data Engineer
About the OrganizationNow 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.
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.
- 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.
- 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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