Data Engineer

Summary

Join Redhorse Corporation, a company specializing in developing and implementing creative strategies and solutions for various clients, as a Data Engineer. You will play a vital role in translating complex business requirements into actionable data-driven insights, impacting national security by directly contributing to the modernization of critical defense systems. This position offers the opportunity to work on challenging problems at the forefront of data engineering for a government client, using cutting-edge technologies. You will work on challenging problems and leverage data to shape national defense strategies. The role involves requirements development and analysis, pipeline and platform development, data visualization and UI/UX design, and collaboration and communication.

Requirements

• US citizen with a Secret US government clearance
• Minimum of 3 years of experience as a Data Engineer
• Proven experience building dashboards and reports using data visualization tools
• Solid skills in Python (including modular code structure)
• Demonstrated experience with Databricks for data cleaning and transformation
• Strong SQL writing and optimization abilities

Responsibilities

• Work directly with government customers and stakeholders to elicit clear data requirements; identify gaps in requirements and propose well-designed solutions; translate business needs into detailed technical specifications and interface designs
• Design, develop, and optimize ETL/ELT workflows using Databricks; maintain and enhance existing Python and SQL codebases; debug, troubleshoot, and resolve defects in data processing pipelines
• Create intuitive dashboards and reports using best practices to clearly communicate insights to diverse audiences; design user interfaces that guide users naturally through data insights, ensuring a seamless user experience
• Work closely with government customers, other data engineers, and product teams; clearly document designs, code changes, and data models; present findings and recommendations effectively to both technical and non-technical audiences

Preferred Qualifications

• Object-Oriented Programming patterns
• Experience with PySpark or other big data processing frameworks
• Familiarity with common BI tools (e.g., Qlik, Power BI, Tableau)
• Front-end development experience with React