Remote Data Engineer — ETL, SQL & Pipeline Lead

Itdtech; San Jose, Northern (CA, KY); Hybrid; USD 120,000 - 180,000; Part time

Benefits offered by this job

Medical benefits

401k plan

Paid holidays

Job summary

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 has deep expertise in SQL, Python, ETL/data pipelines, and data warehousing, with a track record of leading cross-functional data engineering initiatives from planning through delivery. Location: Remote, with preference for California, and occasional onsite in San Francisco.

Qualifications

• 5–7+ years of experience in data engineering or a closely related field.
• Expert-level SQL experience, including 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 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.
• Experience working independently while collaborating across multiple stakeholder groups.
• Strong understanding of data privacy and security considerations in data engineering environments.

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 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 to both technical and non-technical audiences.
• Attend regular internal practice community meetings and contribute to thought leadership.

Skills

SQL

Python

ETL / data pipelines

Data warehousing

Data privacy & security

Education

Bachelor's degree in a relevant field or equivalent experience

Tools

Airflow

Presto

PostgreSQL

MySQL

Job description

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 has deep expertise in SQL, Python, ETL/data pipelines, and data warehousing, with a track record of leading cross-functional data engineering initiatives from planning through delivery. Location: Remote, with preference for California, and occasional onsite in San Francisco.