Job description

Machine Learning Data Engineer_only on W2 Dallas, TX or Boston, MA _only local Responsibilities: • Follow the company’s software development lifecycle to design, code, configure, test, debug, and document system and application programs. • Prepare technical design specifications based on functional requirements and analysis documents. • Participate in architecture, design, and code reviews. • Collaborate with development staff to ensure quality and consistency. • Develop and maintain operational and system-level documentation. • Build and implement a prototype ML model with a quick turnaround. • Support scalable API integrations between internal and external systems (nice to have).  Core Requirements: • Strong command of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake). • Proficient in Python and/or R for data analysis and model development. • Experience with ML/AI programming and modern machine learning standards. • Hands-on experience with cloud platforms (AWS, Azure, GCP) and services like Lambda, S3, Azure Functions, BigQuery. • Familiarity with automation frameworks (e.g., Power Automate, Python scripting). • Understanding of data quality, management, and governance concepts. • Experience with Web Application Server enhancements and infrastructure standards.  Preferred Qualifications (Nice-to-Haves): • Experience with Informatica IDQ. • Familiarity with Snowflake ML libraries or programming extensions. • Background in designing and implementing scalable API integrations.  Soft Skills: • Highly motivated, proactive, and collaborative team player. • Able to work independently and meet tight deadlines. • Strong communication and problem-solving skills.

Requirements