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# Data Engineer-6336

- **Company:** The Itd
- **Location:** San Jose, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Airflow, Big Data, Databases, Information Engineering, Extract Transform Load (ETL), Data Loss, Data Warehousing, Python (Programming Language), PostgreSQL, MySQL, SQL Databases, Data Processing, Scripting, Data Management, Presto, Data Pipelines
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-6336-san-jose-ca--bcc650f8-e5b2-4e18-b702-2d8ef8d6d7f6

## About the Role

Legal, Systems Administration/Management, Cross-Functional, Python Programming/Scripting Language, Database Extract Transform and Load (ETL), Data Warehousing, Data Management, SQL (Structured Query Language), Health Plan, Data Processing, * 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.

## Description

* 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.