Data Engineer (6332)

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