Description 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.
Responsibilities- Develop and manage data pipelines using Python, SQL Server, Snowflake, and Azure Data Factory.
- Optimize T-SQL code and database structures for performance and reliability.
- Integrate analytics and machine learning outputs into business workflows.
- Ensure compliance with data governance and security standards.
- Collaborate with stakeholders to refine requirements and deliver solutions.
- Support BI tools such as Power BI, Tableau, and SQL Server BI stack.
Requirements - Bachelor's degree in Computer Science, Statistics, or related field; advanced degree preferred.
- 8+ years in data engineering with strong SQL/T-SQL expertise.
- Experience with relational and non-relational databases, ETL/ELT, and API design.
- Proficiency in Python (pandas, scikit-learn, PyTorch, TensorFlow) and ML frameworks.
- Familiarity with NLP models (BERT, GPT) and experiment tracking tools (MLflow, DVC).
- Strong communication, problem-solving, and collaboration skills.
- Cloud experience with Azure or AWS preferred.
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