Machine Learning Data Engineer

Now Hiring: Machine Learning Data Engineers (2 Roles) Location: Hybrid 2 days/week in Dallas, TX or Boston, MA Start Date: ASAP – Active project delivery through year-end Our client is hiring two Machine Learning Data Engineers to join a high-impact Data Quality Team initiative. This project aims to automate the review of 25,000+ data quality rules currently being handled manually. We’re looking for: • 1 Solution Architect (ML Focus) – Experienced in implementing full ML frameworks and end-to-end architecture. • 1 Engineer/Business Analyst Hybrid – To support the lead architect with model development, automation, and data analysis. Project Overview • Automate manual rule review processes currently handled in Informatica IDQ, with a transition toward Snowflake. • Develop and deploy Machine Learning models to analyze rule pass/fail outcomes. • Increase efficiency and reduce manual effort through intelligent automation. Key Responsibilities • Design, code, configure, test, and document applications following the company’s SDLC process. • Prepare technical design specs based on functional and business requirements. • Participate in architecture, design, and code reviews. • Collaborate with cross-functional teams to ensure quality and consistency. • Develop and maintain system and operational documentation. • Build and deploy a prototype ML model with a quick turnaround. • (Nice to have) Support API integrations between internal and external systems. Required Skills & Experience • Strong SQL skills and hands-on experience with relational databases (PostgreSQL, MySQL, Oracle, Snowflake). • Proficient in Python and/or R for data analysis and model development. • Solid understanding of ML/AI programming and modern machine learning frameworks. • Experience working with cloud platforms such as AWS, Azure, or GCP (Lambda, S3, Azure Functions, BigQuery, etc.). • Familiar with automation frameworks (Power Automate, Python scripting). • Understanding of data quality, management, and governance principles. • Experience with Web Application Server enhancements and infrastructure standards. Preferred Qualifications • Experience with Informatica IDQ. • Familiarity with Snowflake ML libraries or programming extensions. • Experience designing and implementing scalable API integrations. Soft Skills • Self-motivated and proactive team player. • Strong problem-solving and communication abilities. • Able to work independently and meet tight project deadlines.