Data Engineer – Data Infrastructure & eDiscovery

New

itDLegal technology

Remote – California.ContractMiddle

Salary not disclosed

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Job Details

Have 3+ years of professional experience in Data Engineering.
Bring expert-level proficiency in SQL and experience with relational databases such as Presto, PostgreSQL, or MySQL.
Bring expert-level proficiency in Python.
Have expert-level experience building, managing, and optimizing ETL/data pipelines.
Be proficient with workflow orchestration and data pipeline tools such as Apache Airflow or similar technologies.
Have demonstrated experience leading end-to-end data engineering initiatives with cross-functional teams and technical and non-technical stakeholders.
Communicate complex technical concepts clearly and concisely in writing and verbally.
Be able to navigate ambiguous requirements and independently drive technical projects to completion.
Have a bachelor's degree in a relevant field or equivalent work experience.
Be a direct W2 candidate.

Design, develop, and maintain complex ETL pipelines for large-scale data extraction, transformation, and processing.
Build and enhance scalable data warehousing solutions for efficient querying and management of large datasets.
Lead development of monitoring, alerting, and data pipeline systems to identify and prevent infrastructure issues.
Develop and optimize SQL queries using Presto, PostgreSQL, and MySQL.
Collaborate with attorneys, Data Scientists, and cross-functional technical teams to understand data requirements and deliver data solutions.
Lead engineering initiatives by defining project plans, coordinating stakeholders, preparing technical documentation, and driving implementation.
Identify opportunities to use AI and automation to streamline workflows and support non-technical stakeholders while maintaining privacy and security standards.

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