itd · San Jose
Skills: Python, SQL
Data Engineer – Data Infrastructure & eDiscovery itD is seeking an experienced Data Engineer to build, enhance, and maintain high-complexity data pipelines, data warehousing infrastructure, and monitoring and alerting systems supporting its Legal and eDiscovery team. The ideal candidate will bring deep expertise in SQL, Python, ETL pipeline development, and workflow orchestration, with a proven track record of leading end-to-end data engineering initiatives across cross-functional teams. This individual will help deliver scalable, reliable, and secure data infrastructure while partnering with technical and non-technical stakeholders, including attorneys and Data Scientists. Location: Remote – California. Candidates located in or near the San Francisco Bay Area are preferred. Candidates must indicate their willingness to occasionally work onsite in San Francisco. Duration : 6 months We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Design, develop, and maintain complex ETL pipelines to support large-scale data extraction, transformation, and processing across enterprise data environments. Build and enhance scalable data warehousing solutions, ensuring efficient querying and management of massive datasets. Lead end-to-end development of high-complexity monitoring, alerting, and data pipeline systems to proactively identify and prevent infrastructure issues. Develop and optimize advanced SQL queries using technologies such as Presto, PostgreSQL, and MySQL. Collaborate with attorneys, Data Scientists, and cross-functional technical teams to understand data requirements, identify relevant data sources, and deliver reliable data solutions. Lead cross-functional engineering initiatives by defining project plans, coordinating stakeholders, preparing technical documentation, and driving successful implementation.…
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