Junior Data Engineer

🕒 2 days ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

⏰ Full Time

🟢 Junior

🚰 Data Engineer

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Redhorse Corporation

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

🏛️ Government

Artificial Intelligence • Cybersecurity • Government

Redhorse Corporation is a technology-driven company specializing in providing innovative solutions to complex problems faced by government and defense organizations. With expertise in AI-driven innovation, cyber analytics, and data science, Redhorse focuses on transforming how governmental bodies interact with data and technology. The company prioritizes customer-centric, mission-focused partnerships to deliver impactful results and tackle challenges head-on. It serves markets including federal civilian, defense, intelligence, and homeland security, offering services that enable digital transformation, mission enablement, and infrastructure development.

📋 Description

• 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.

🎯 Requirements

• 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.