Job 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: 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 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. Internal Responsibilities 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. Required Qualifications and Skills 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. Preferred Qualifications and Skills 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. Education Bachelor’s degree in a relevant field or equivalent work experience required. Company Description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints. The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit itdtech.com to learn more about what working at itD can mean for you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at recruiting@itdtech.com and let us know the nature of your request and your contact information. Additional Info Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!

Requirements

Must-haves

Data Engineer-6336
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
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.
Internal Responsibilities
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.
Required Qualifications and Skills
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 .

Nice-to-haves

Preferred Qualifications and Skills

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonai

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k