Data Engineer-6336

itD Tech•San Jose, CA

15d•Remote

About The Position

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. This is a remote position, with a 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. The contract duration is 3 months, with a 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.

Requirements

5–7+ years of experience in data engineering or a closely related field.
Expert-level SQL experience, including experience with relational or distributed query engines such as Presto, PostgreSQL, or MySQL.
Expert-level Python programming experience.
Expert-level experience building and managing ETL/data pipelines using pipeline orchestration tools such as Airflow or comparable technologies.
Demonstrated experience leading data engineering efforts on large, cross-functional projects involving both technical and non-technical stakeholders.
Demonstrated ability to design and deliver high-complexity monitoring and alerting systems.
Strong written and verbal communication skills, with the ability to communicate concisely and effectively.
Experience working independently while collaborating effectively across multiple stakeholder groups.
Strong understanding of data privacy and security considerations in data engineering environments.
Bachelor’s degree in a relevant field or equivalent work experience required.

Nice To Haves

Experience using AI to accelerate project delivery or building AI-enabled components to automate workflows for non-technical stakeholders.
Experience supporting highly regulated industries, such as legal, compliance, finance, security, or privacy.
Experience mentoring junior data engineers or other technical team members.
Experience working in startups, small organizations, or ambiguous environments with broad ownership and scope.
Experience with data loss remediation or related data protection initiatives.
Volunteer or internship experience with a law firm or experience working in privacy-related environments.
Startup, entrepreneurial, or self-employed experience demonstrating broad ownership and initiative.
Candidates from non-traditional backgrounds are welcome; big-tech experience is not required.

Responsibilities

Build and modify high-complexity ETL and data pipelines to efficiently extract, transform, and process data from large-scale datasets.
Develop and maintain monitoring and alerting systems that proactively identify data, infrastructure, and workflow issues.
Design data warehousing solutions and optimize queries and pipelines for large-scale data processing.
Collaborate with attorneys, data scientists, engineers, and other technical and non-technical stakeholders to understand data requirements, sources, dependencies, and timelines.
Lead end-to-end data engineering initiatives across cross-functional teams, including planning, documentation, stakeholder coordination, system design, and execution.
Identify potential data and system issues early and implement solutions that improve reliability, efficiency, and operational visibility.
Communicate technical concepts and project status clearly and concisely to both technical and non-technical audiences.
Attend regular internal practice community meetings.
Collaborate with your itD practice team on industry thought leadership.
Complete client case studies and learning material, including blogs and media material.
Build material to contribute to the Digital Transformation practice.
Attend internal itD networking events, both in person and virtually.
Work with leadership on career fast-track opportunities.