data engineer

At Meta, we have many opportunities to work with data each and every day. In this role as a Data Engineer on the Meta Data Center’s Data Science team, your primary responsibility will be to partner with key stakeholders, data scientists and software engineers to support and enable the continued growth critical to Meta's Data Center organization. You will be responsible for creating the technology and data architecture that moves and translates data used to inform our most critical strategic and real-time decisions. You will also help translate business needs into requirements and identify efficiency opportunities. In addition to extracting and transforming data, you will be expected to use your expertise to build extensible data models, provide meaningful recommendations and actionable strategies to partnering data scientist for performance enhancements and development of best practices, including streamlining of data sources and related programmatic initiatives. The ideal candidate will have a passion for working in white space and creating impact from the ground up in a fast-paced environment. This position is part of the Infrastructure Data Center team.



Data Engineer Responsibilities:

Partner with leadership, engineers, program managers and data scientists to understand data needs
Apply proven expertise and build high-performance scalable data warehouses
Design, build and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)
Securely source external data from numerous partners
Intelligently design data models for optimal storage and retrieval
Deploy inclusive data quality checks to ensure high quality of data
Optimize existing pipelines and maintain of all domain-related data pipelines
Ownership of the end-to-end data engineering component of the solution
Support on-call shift as needed to support the team
Design and develop new systems in partnership with software engineers to enable quick and easy consumption of data




Minimum Qualifications:

BS/MS in Computer Science or a related technical field
5+ years of Python or other modern programming language development experience
5+ years of SQL and relational databases experience
5+ years experience in custom ETL design, implementation and maintenance
3+ years of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, Digdag, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M)
3+ years experience with Data Modeling
Experience working with cloud or on-premises Big Data/MPP analytics platform (i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar)
2+ years experience working with enterprise DE tools and experience learning in-house DE tools
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.




Preferred Qualifications:

Experience with more than one coding language
Experience designing and implementing real-time pipelines
Experience with data quality and validation
Experience with SQL performance tuning and end-to-end process optimization
Experience with anomaly/outlier detection
Experience with notebook-based Data Science workflow
Experience with Airflow
Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.
Experience building systems integrations, tooling interfaces, implementing integrations for ERP systems (Oracle, SAP, Saleforce etc).




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.



Meta is proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta 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 accommodations-ext@fb.com.

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