Want to work on front page news issues? Excited about solving new problems at an unheard-of scale? The Legal Technology Solutions (LTS) is seeking a Data Engineer who can execute cutting edge solutions to an array of emerging problems, for Meta's Legal organization. This role allows for a high degree of ownership of the solutions you launch and the ability to make positive change every day. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and ML engineering to optimize our operations, and ensure the safety and integrity of the platform for all of our 3 billion plus users, as well as our internal employee community. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.

Data Engineer, Legal Responsibilities

• Collaborate with engineers, technical product managers, business stakeholders, and data scientists to understand data needs, representing key data insights in a meaningful way


• Define and manage SLA for all data sets in allocated areas of ownership


• Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership


• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains


• Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources


• Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts


• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts


• Influence cross-functional teams to identify data opportunities to drive impact


• Mentor team members by giving/receiving actionable feedback

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.


• 5+ years of work experience in data engineering (a minimum of 2+ years with a Ph.D)


• Experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M)


• Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)


• Experience in custom ETL design, implementation and maintenance


• Experience analyzing data to discover opportunities and address gaps

Preferred Qualifications

• Master's or Ph.D degree in a STEM field


• Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy


• Experience working with terabyte to petabyte scale data

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