Data Engineer-6336
- Compensation
- Not disclosed
- Location
- San Jose
- Work setup
- Not specified
- Seniority
- Intern
- Employment
- Internship
- Experience
- 7+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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.
Nice to have
- 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.
Full description
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: 3MonthsPay 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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