Data Engineer
itD is seeking a Data Engineer to design and deliver high-complexity data pipelines and monitoring systems that support critical legal and eDiscovery infrastructure. This role will play a key part in building scalable data workflows, enabling alerting systems, and partnering with cross-functional stakeholders—including legal, data science, and engineering teams—to deliver reliable, secure, and compliant data solutions. The ideal candidate will bring deep expertise in data engineering and pipeline development and a proven track record of delivering end-to-end data infrastructure projects in complex, highly regulated environments.
Location: Remote (California preferred; Bay Area candidates strongly preferred, occasional onsite in San Francisco may be required)
Duration: 6months
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
- Design, build, and maintain high-complexity ETL pipelines to process large-scale datasets efficiently
- Develop and manage monitoring and alerting systems to ensure data reliability and integrity
- Collaborate with attorneys, data scientists, and cross-functional stakeholders to define data requirements and solutions
- Lead end-to-end data engineering initiatives across multiple stakeholders and systems
- Optimize data workflows, query performance, and pipeline efficiency across large data environments
- Create documentation, implementation plans, and deployment strategies for new data systems
- Ensure data privacy, security, and compliance standards are maintained across all solutions
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 (blogs, media material)
- Build out material to contribute to the Digital Transformation practice
- Attend internal itD networking events (in person and virtual)
- Work with leadership on career fast-track opportunities
Required Qualifications and Skills
- 8+ years of experience in data engineering (6+ years acceptable with strong additional experience)
- Expert-level proficiency in SQL (Presto, Postgres, MySQL, or equivalent)
- Expert-level proficiency in Python
- Strong experience building and managing ETL pipelines at scale
- Hands-on experience with workflow orchestration tools (e.g., Airflow or equivalent)
- Proven experience leading cross-functional data engineering projects with multiple stakeholders
- Excellent communication skills with ability to work across technical and non-technical teams
Preferred Qualifications and Skills
- Experience leveraging AI/ML tools to automate workflows or accelerate delivery
- Background in regulated environments (legal, compliance, privacy, security, finance)
- Experience mentoring junior engineers or leading technical initiatives
- Experience in startup or fast-paced environments with high ambiguity
- Exposure to data loss prevention or remediation workflows
- Familiarity with data warehousing and large-scale monitoring systems
Education
- Bachelor’s degree in Computer Science or a related 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 https://itdtech.com/careers 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 [email protected] 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!
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
