Industry News

job Opportunity: Data Engineering Manager - Legal at Meta

Exciting job opportunity at Meta! They are seeking a qualified Data Engineering Manager - Legal for their Los Angeles, Ca office. This position offers great career growth potential in Legal.

LE
LegalAlphabet Editorial Team
Dedicated to bringing you the latest legal career opportunities and industry insights.
5 min read

Share this article

Job opportunity: Data Engineering Manager - Legal at Meta

Exciting job Opportunity at Meta

Meta, a leading organization in the legal industry, is seeking a talented Data Engineering Manager - Legal to join their team in Los Angeles, Ca. This is an excellent opportunity for a professional to advance their career in Legal.

Position Overview

  • Position: Data Engineering Manager - Legal
  • Company: Meta
  • Location: Los Angeles, Ca
  • Type: Job
  • Work Arrangement: Onsite
  • Experience Level:
  • Practice Area: Legal
  • Compensation: $173,000 - $242,000/year

About the Role

This Data Engineering Manager - Legal position offers an outstanding opportunity to work with Meta's dynamic legal team. The role involves:

The Legal Engineering, Analytics, & Data Team in Global Legal Operations and Strategy (GLOS) is responsible for building solutions to solve complex problems related to compliance, security & investigations, intellectual property, and more. We are looking for a Data Engineering Manager to lead a team of talented data engineers, while proactively driving the direction for data engineering across the entire legal organization at Meta. In this role, you will develop a clear sense of connection with our organization and leadership - as Data Engineering is a critical investment to scale analytics and drive strategy. Through the consulting-nature of our team, you will contribute to a variety of projects and technologies, depending on partner needs. Projects include analytics, data pipeline frameworks, tooling, services and more.


Data Engineering Manager - Legal Responsibilities

  • Partner with leadership, engineers, program managers and data analysts to understand data needs.
  • Design, build and launch efficient and reliable data pipelines transforming data into useful report ready datasets.
  • Broad range of partners equates to a broad range of projects and deliverables including data pipeline frameworks, datasets, measurements, services, tools and process.
  • Use your data and analytics experience to identifying and addressing data gaps, proactively monitor and detect data quality issues and partner to establish a self-serve environment.
  • Leverage data and business principles to automate data flow, detect business exceptions, build diagnostics, improve both business and data knowledge base.
  • Build data expertise and own data quality for your areas.


Minimum Qualifications

  • Bachelor's degree in Engineering, Computer Science, Math or a related quantitative field.
  • 10+ years of experience designing and building data engineering solutions that solve complex, ambiguous problems or scale horizontally to provide value across many teams and consumers.
  • 3+ years of people management experience. Experience hiring and managing highly skilled data engineers, providing mentorship, guidance, and career development to the members of the team.
  • Experience with SQL, Python development, data modeling, custom ETL (Extract, Transform, Load) design, implementation and maintenance.
  • Experience working with cloud or on-prem Big Data/Massively Parallel Processing analytics platform (i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar).
  • Experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, Google Cloud Composer, AWS Step Functions, Azure Data Factory, Control-M).
  • Experience owning and delivering business initiatives from idea to implementation.


Preferred Qualifications

  • Experience with more than one coding language.
  • Experience in designing and implementing real-time pipelines.
  • Experience with data quality and validation.
  • Experience with SQL performance tuning and e2e process optimization.
  • Experience with anomaly/outlier detection.
  • Experience with notebook-based Data Science workflow.
  • Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.
  • Proven track record of driving large cross-functional standards and best practices and setting the bar when it comes to design and build quality.

For those who live in or expect to work from California if hired for this position, please click here for additional information.


About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.


$173,000/year to $242,000/year + bonus + equity + benefits


Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.


Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Key Responsibilities


Requirements and Qualifications


Why Join Meta?

Meta offers an exceptional work environment where legal professionals can thrive and grow their careers. Benefits of joining their team include:

  • Competitive compensation and benefits package
  • Professional development opportunities
  • Collaborative and supportive work environment
  • Opportunity to work on challenging and meaningful cases
  • Work-life balance initiatives

How to Apply

If you're interested in this exciting Data Engineering Manager - Legal opportunity at Meta, we encourage you to apply through LegalAlphabet. This position offers excellent career growth potential and the chance to work with a respected legal organization.

Job Reference ID: job-id-15

Apply Today

Don't miss this opportunity to advance your legal career with Meta. View the full job posting and apply now through LegalAlphabet's secure application system.

LegalAlphabet connects top legal talent with leading law firms and organizations. Explore more legal opportunities or create your profile to be discovered by employers.

Share this article