Job Description

How would Facebook 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 Facebooks 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 Engineer, Legal Central Services 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 whats 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

* 5+ years of SQL experience

* 4+ years of Python development experience

* 3+ years of 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)

* 3+ years experience with Data Modeling

* Experience analyzing data to discover opportunities and address gaps

* 5+ years experience in custom ETL design, implementation and maintenance

* 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)

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.

* Experience working with Supply Chain or Data Center Operation team

Locations

About the Facebook company

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities we're just getting started.

Facebook 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, you may contact us at accommodations-ext@fb.com.