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As a Senior Data Engineer, you will develop batch and streaming data pipelines, maintain data contracts, and guide domain teams on data modeling, while mentoring other engineers.

The Data Developer will implement data pipelines, research new tools, and collaborate with teams for smooth integration of data systems.

As a Data Engineer Lead, you will develop batch and streaming data pipelines, maintain data contracts, guide teams on data modeling, and mentor engineers.

Lead the Machine Learning team, oversee project development, optimize ML systems and data pipelines, mentor team members, and align technical and business goals.

As a Machine Learning Engineer, you will develop ML models, optimize performance, implement client requirements, and collaborate on technical solutions.

As a Data Engineer Lead, you'll lead data projects, design ETL processes, mentor team members, and collaborate with clients to deliver custom solutions.

Design, build, and maintain batch and streaming data pipelines and semantic models on Databricks (Python/Spark). Define data contracts, quality rules, and SLOs; guide domain teams on data modeling; and mentor engineers and analysts while improving platform templates and tooling.

Design and deploy production-grade agentic LLM systems, build document understanding pipelines (OCR, image/table parsing), create evaluation sets for legal QA, control hallucinations/abstention, and translate legal/commercial stakeholder needs into system requirements.