Data Engineer-6336

About the role

Data Engineer-6336

itD is seeking an experienced Data Engineer to build and modify high-complexity data pipelines, monitoring, and alerting systems supporting a legal-focused infrastructure team. The ideal candidate will bring deep expertise in SQL, Python, ETL/data pipelines, and data warehousing, along with a proven track record of leading complex, cross-functional data engineering initiatives from planning through delivery.

Location: Remote, with preference for candidates based in California and ideally the Bay Area. Candidates open to occasional onsite work in San Francisco should indicate this in their skills matrix. Contract: 3Months

Pay Rate: depending on experience and market rate. We provide comprehensive medical benefits, a 401k 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

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Build and modify high-complexity ETL and data pipelines to efficiently extract, transform, and process data from large-scale datasets.

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Develop and maintain monitoring and alerting systems that proactively identify data, infrastructure, and workflow issues.

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Design data warehousing solutions and optimize queries and pipelines for large-scale data processing.

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Collaborate with attorneys, data scientists, engineers, and other technical and non-technical stakeholders to understand data requirements, sources, dependencies, and timelines.

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Lead end-to-end data engineering initiatives across cross-functional teams, including planning, documentation, stakeholder coordination, system design, and execution.

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Identify potential data and system issues early and implement solutions that improve reliability, efficiency, and operational visibility.

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Communicate technical concepts and project status clearly and concisely to both technical and non-technical audiences.

Internal Responsibilities

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Attend regular internal practice community meetings.

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Collaborate with your itD practice team on industry thought leadership.

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Complete client case studies and learning material, including blogs and media material.

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Build material to contribute to the Digital Transformation practice.

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Attend internal itD networking events, both in person and virtually.

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Work with leadership on career fast-track opportunities.

Required Qualifications and Skills

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5–7+ years of experience in data engineering or a closely related field.

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Expert-level SQL experience, including experience with relational or distributed query engines such as Presto, PostgreSQL, or MySQL.