Data Engineer, Analytics (Machine Learning)

Location: Sunnyvale, CA

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Every month, billions of people leverage Facebook products to connect with friends and loved ones from across the world. On the Data Engineering Team, our mission is to support these products by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion+ users. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. 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 around efficiency and integrity, at a scale few companies can match. Unique to our domain specialist Data Engineers is the ability to own a specific area within the broader data engineering community either in a technical capacity (e.g., real-time/batch/lambda data processing, machine learning, experimentation systems, application performance optimization, etc.) or an industry capacity (e.g., personalization systems, consumer marketing, retail/e-commerce, ad-tech, etc.).The Machine Learning domain specialist will partner with Facebook Research Scientists and ML Engineers to design and build the data foundations that will drive the creation and assessment of the next generation of Ads Personalization models.As we continue to expand and create, we have a lot of exciting work ahead of us!
  • Act as a subject matter expert for machine learning data engineering challenges including, 1) understanding real-time, online, and offline model training
  • 2) capturing opportunity related to optimizing modeling and training within resource
  • Actively participate in and stay informed on the latest industry and academic developments within machine learning
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence operational cross-functional efficiency by identifying issues causing delay and addressing them proactively
  • Mentor team members by giving/receiving actionable feedback
  • Collaborate with engineers, product managers and product analysts to understand data needs
  • Build data expertise and own data quality for allocated areas of ownership
  • Design, build and launch new data models and ETL processes in production
  • Define and manage SLA for all data sets in allocated areas of ownership
  • 4+ years experience in the data warehouse space
  • 4+ years experience in custom ETL design, implementation and maintenance
  • 4+ years experience with object-oriented programming languages
  • 7+ years experience with schema design and dimensional data modeling
  • 7+ years experience in writing SQL statements
  • Recent experience building successful & scalable machine learning solutions to address key business challenges
  • Experience analyzing data to identify deliverables, gaps and inconsistencies
  • Experience managing and communicating data warehouse plans to internal clients
  • Bachelors Degree in Technical Field, Computer Science or Mathematics
  • Experience working with either a MapReduce or an MPP system
  • Knowledge and practical application of Python
  • Experience working autonomously in global teams
  • Experience influencing product decisions with data
  • Experience influencing senior leaders to define data strategy related to analytics and machine learning use cases
  • Project experience with real-time machine learning use cases, as well as necessary trade-offs vs. offline/batch processing
  • Domain expertise in modern machine learning techniques, ideally including at least neural networks, as well as classification and embeddings
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 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

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