<p>We're seeking a Data Engineer to design, build, and optimize data pipelines supporting advanced analytics, AI, and machine learning initiatives for a client in Watertown, MA. This role combines technical expertise with collaboration across IT and business teams to deliver scalable, secure, and impactful data solutions. This role is onsite 4 days a week in Watertown. </p><p><strong>Responsibilities</strong></p><ul><li>Develop and manage data pipelines using Python, SQL Server, Snowflake, and Azure Data Factory.</li><li>Optimize T-SQL code and database structures for performance and reliability.</li><li>Integrate analytics and machine learning outputs into business workflows.</li><li>Ensure compliance with data governance and security standards.</li><li>Collaborate with stakeholders to refine requirements and deliver solutions.</li><li>Support BI tools such as Power BI, Tableau, and SQL Server BI stack.</li></ul><p><br></p>

<ul><li>Bachelor’s degree in Computer Science, Statistics, or related field; advanced degree preferred.</li><li>8+ years in data engineering with strong SQL/T-SQL expertise.</li><li>Experience with relational and non-relational databases, ETL/ELT, and API design.</li><li>Proficiency in Python (pandas, scikit-learn, PyTorch, TensorFlow) and ML frameworks.</li><li>Familiarity with NLP models (BERT, GPT) and experiment tracking tools (MLflow, DVC).</li><li>Strong communication, problem-solving, and collaboration skills.</li><li>Cloud experience with Azure or AWS preferred.</li></ul>

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