Data Engineer, Product Analytics
Meta · Menlo Park, CA
- On site
- Full-time
- $212,000 / year
- Menlo Park, CA
Job highlights
- Shape product future for billions across Meta applications.
- Build scalable data solutions for growth and user experience.
- Solve complex data challenges at massive scale.
- Collaborate with engineering, data science, and product teams.
- Join a world-class data engineering community.
About the role
Data Engineer, Product Analytics at Meta
As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community. You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering Responsibilities:
- Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.
- Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
- Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way.
- Define and manage Service Level Agreements 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 Extract, Transform, Load (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 product and 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.
- 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions.
- 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others).
Preferred Qualifications:
- Master's or Ph.D degree in a STEM field.
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
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@meta.com.
Key skills/competency
- Data Engineering
- Product Analytics
- SQL
- ETL
- Data Modeling
- Python
- Scalable Data Solutions
- Data Architecture
- Data Visualization
- AI Integration
Skills & topics
- Data Engineer
- Product Analytics
- SQL
- ETL
- Data Modeling
- Python
- Data Architecture
- Big Data
- Data Pipelines
- Cloud Data Engineering
How to get hired
- Tailor your resume: Highlight 7+ years of data experience, SQL, ETL, data modeling, and programming languages.
- Showcase AI proficiency: Detail experience integrating AI tools and adhering to ethical AI practices.
- Quantify achievements: Use numbers to demonstrate impact on growth, strategy, and user experience.
- Prepare for technical deep-dives: Be ready to discuss data architecture, ETL patterns, and complex data models.
- Demonstrate influence: Prepare examples of data-driven storytelling and influencing cross-functional partners.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the core responsibilities of a Data Engineer, Product Analytics at Meta?
- A Data Engineer at Meta is responsible for designing and building scalable data solutions, conceptualizing data architecture, improving data logging efficacy, collaborating with various teams, defining data SLAs, implementing security models, creating data models and visualizations, solving data integration problems, and optimizing production processes. They also influence product teams and mentor colleagues.
- What are the minimum qualifications for this Data Engineer role at Meta?
- The minimum qualifications include a Bachelor's degree in a relevant technical field or equivalent experience, 7+ years of experience working with data (e.g., data analyst, data scientist, data engineer), and 7+ years of experience with SQL, ETL, data modeling, and at least one programming language like Python, C++, C#, or Scala.
- What is Meta's stance on diversity and inclusion for this Data Engineer role?
- Meta is a proud Equal Employment Opportunity and Affirmative Action employer, committed to diversity and inclusion. They do not discriminate based on various protected characteristics and consider qualified applicants with criminal histories. They also participate in E-Verify and are committed to providing reasonable accommodations for candidates with disabilities.
- How does Meta leverage AI in its hiring process for Data Engineers?
- Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Candidates are also encouraged to highlight their own demonstrated ability to integrate AI tools to optimize workflows and their ongoing AI skill development.
- What is the expected salary range for a Data Engineer, Product Analytics at Meta?
- The salary range for this position is $177,000 to $247,000 per year, plus bonus, equity, and benefits. Individual compensation is determined by skills, qualifications, experience, and location.
- What kind of data challenges can I expect as a Data Engineer at Meta?
- You can expect to tackle some of the most interesting and challenging data problems at a scale few companies can match. This involves designing and building extensive data sets to craft experiences for billions of users and millions of businesses worldwide.
- What opportunities for career growth are available for Data Engineers at Meta?
- Meta offers a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond. You will have opportunities to work on impactful projects and learn from experienced professionals.