Data Engineering Manager, Legal – Meta (formerly Facebook)

17% 1-Year Employee Growth Rate | 34% 2-Year Employee Growth Rate | LinkedIn | $16.1B Venture Funding

What Is Employee Growth Rate & Why Is It Important?

How would Meta scale to the next billion users? The Legal Central Services data engineering team is responsible for building solutions to solve complex problems related to compliance, security & investigations, intellectual property, and more. We are looking for a Data Engineer to not only build data pipelines but also extend our data tools. As a Data Engineer, you will develop a clear sense of connection with our organization and leadership – as Data Engineering is a critical investment to scale analytics capabilities and drive strategy. This is a partnership-heavy role. As a member of LCS Data Engineering team, you will belong to a centralized Analytics and Data Engineering team who partners closely with teams in Facebook’s legal department. 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 analyst 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 ‘see what’s missing’ identifying and address data gaps, build monitor to 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 diagnostic capabilities, improve both business and data knowledge base.
• Build data expertise and own data quality for your areas.

Minimum Qualifications:

• Experience analyzing data to discover opportunities and address gaps.
• Proven track record of driving large cross functional standards and best practices and setting the bar when it comes to design and build quality.
• Experience owning and delivering major business initiatives from idea to implementation.
• Proven experience to design and build data engineering solutions which solve complex, ambiguous problems, or which scale horizontally to provide value across many teams and consumers.
• Experience hiring and managing highly skilled data engineers, providing mentorship, guidance, and career development to the members of the team.
• Bachelor’s degree in Engineering, Computer Science, Math or a related quantitative field.
• Experience driving initiatives that elevate org’s people, technology and processes.
• Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar).
• 5+ years experience in custom ETL design, implementation and maintenance.
• 4+ years of Python development experience.
• 3+ years of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M).
• 3+ years experience with Data Modeling.
• 5+ years of SQL experience.

Preferred Qualifications:

• Experience with anomaly/outlier detection.
• Experience with SQL performance tuning and e2e process optimization.
• Experience in designing and implementing real-time pipelines.
• Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.
• Experience with notebook-based Data Science workflow.
• Experience with data quality and validation.
• Experience with more than one coding language.

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

Tagged as: 501+ Employees, Hide US-Only Jobs, Venture Funded