Remote Senior Data Platform Engineer for AI/ML

TruLegal (formerly TRU Staffing)

United States

Remote

USD 145,000 - 165,000

Full time

17 hours ago
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Job summary

A senior data engineer role at a leading global law firm is seeking a hands-on expert to design, build, and operate enterprise data platforms supporting reporting, analytics, and AI/ML initiatives. The position emphasizes data lakes, warehouses, ETL/ELT pipelines, SQL optimization, and preparing high-quality model-ready datasets.

The role is primarily remote with a requirement to reside within commuting distance of a U.S.

Qualifications

  • Bachelor’s degree in Computer Science, IT, Engineering, or related field (or equivalent experience).
  • Extensive experience building and supporting enterprise data platforms, pipelines, and databases.
  • Strong SQL proficiency and scripting (Python) skills.
  • Experience with cloud data platforms (AWS, Azure, GCP) and data lake/warehouse architectures.
  • Knowledge of data governance, lineage, and metadata practices.
  • Familiarity with ML data workflows and feature stores.

Responsibilities

  • Design, build, and maintain scalable data lakes, warehouses, and lakehouse environments.
  • Develop and orchestrate ETL/ELT pipelines to ingest and transform data.
  • Collaborate with data scientists to prepare model-ready datasets.
  • Optimize query performance and data models for analytics and BI.
  • Maintain data quality, lineage, and governance across platforms.
  • Mentor and guide junior data engineers.

Skills

SQL
Python
Data modeling
ETL/ELT design
Cloud data platforms
Data pipelines

Education

Bachelor’s degree or equivalent experience

Tools

Airflow
Spark
Tableau/Power BI

Job description

A senior data engineer role at a leading global law firm is seeking a hands-on expert to design, build, and operate enterprise data platforms supporting reporting, analytics, and AI/ML initiatives. The position emphasizes data lakes, warehouses, ETL/ELT pipelines, SQL optimization, and preparing high-quality model-ready datasets.

The role is primarily remote with a requirement to reside within commuting distance of a U.S.

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