Technical SME Data Engineer

📋 Description

• Design, build, and implement decision analysis and machine learning models, including Decision
• Develop large-scale data processing pipelines using Apache Spark core APIs, SparkSQL, and streaming
• Perform data cleaning, transformation, validation, and comparative trend analysis across large
• Translate organizational goals and business requirements into practical machine learning models
• Implement analytical solutions within cloud-native environments and support scalable data
• Ensure machine learning and AI initiatives comply with applicable federal AI governance policies

🎯 Requirements

• 5+ years of professional experience working with decision analysis and machine learning algorithms
• Strong hands-on experience with algorithms such as Decision Trees, Random Forests, Gradient Boosted
• Strong understanding of Apache Spark architecture and internals, including core APIs, SparkSQL
• Experience performing data cleaning and developing comparative trend analyses using large-scale
• Proven ability to translate organizational goals into working machine learning models, statistical
• Experience working with open-source and community solutions and managing source code using GitHub.

🎁 Benefits

• Generous medical, dental, and vision insurance plans.
• Opportunity to work across different sectors while maintaining a stable full-time role.
• Flexible work arrangements, including remote opportunities depending on project requirements.
• Collaborative and team-oriented working environment.
• Opportunities to contribute to federal technology and regulatory initiatives.
• Exposure to large-scale data engineering, machine learning, cloud-native technologies, and AI