Senior Data Engineer
Century City, Los Angeles, Orange County, Palo Alto, San Francisco, Denver, New York City, Dallas, Houston, Washington, D.C.
$150,000 - $200,000
Our client, a leading global law firm, is seeking a Senior Data Engineer to design, build, and operate the data platforms powering enterprise reporting, analytics, and artificial intelligence across the firm. This is an opportunity to own the full data lifecycle, from enterprise system ingestion through model-ready datasets, shaping how a global firm builds and scales its AI and analytics capabilities. This role can be based in New York City or any of the firm's other U.S. offices, including Century City, Los Angeles, Orange County, Palo Alto, San Francisco, Denver, Dallas, Houston, or Washington, D.C.
Why You Should Apply
End-to-end ownership across data platform engineering, database administration, and AI-ready data delivery
Direct hand in building the infrastructure behind the firm's AI/ML initiatives
Strong compensation range ($150,000–$200,000) plus performance-based bonuses
Comprehensive benefits including health care, retirement, and parental leave
Mentorship responsibilities and cross-functional collaboration across engineering teams
Exposure to a broad platform footprint spanning document management, finance, and HR systems
Flexibility across multiple U.S. office locations
What You'll Be Doing
Designing and maintaining scalable data lakes, warehouses, and lakehouse environments
Developing and orchestrating automated ETL/ELT pipelines across enterprise sources
Curating and preparing model-ready datasets for AI/ML training and inference
Administering relational databases, including backups, performance tuning, and disaster recovery
Developing and optimizing dashboards and reports using BI tools such as Tableau or Power BI
Mentoring and training data engineers on the data platform and its business applications
About You
10+ years of experience building and supporting enterprise data platforms and pipelines
Hands-on experience with data warehousing, data lakes, or lakehouse architectures
Experience preparing and serving data for AI/ML model training, fine-tuning, or inference
Familiarity with distributed data processing and pipeline orchestration tools (Spark, Airflow)
Experience with cloud data platforms such as AWS, Azure, Snowflake, or Databricks
How To Apply
If you have a resume ready, apply here. We will not share your resume or reveal your identity to any third-party or potential employer without your express consent.
August 26, 2026