Data Engineer, Product Analytics
Sunnyvale, CA | Los Angeles, CA | Bellevue, WA | Austin, TX | Menlo Park, CA | Seattle, WA | Burlingame, CA | Washington, DC | Remote, US | Boston, MA | New York, NY | San Francisco, CA | Fremont, CA
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: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.Data Engineer, Product Analytics 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 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
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
- 4+ 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
- 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
- Master's or Ph.D degree in a STEM field
$145,000/year to $204,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta 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, fill out the Accommodations request form. Apply
Job Profile
Fully remote possible Work location flexibility
Benefits/PerksAccommodations Benefits Bonus Career growth Equity Fully remote Individual compensation Reasonable accommodations Skill development
Tasks- Build
- Build data artifacts and models
- Collaborate with teams
- Communication
- Create visualizations
- Define data security and governance
- Design
- Design data architecture
- Identify new opportunities
- Improve logging and data quality
- Mentor team
- Mentor team members
- Optimize data pipelines
- Shape product development
- Solve data integration issues
Algorithm Design Analytical Analytics Architecture Big Data Business C Color Communication Computer Engineering Computer Science Cross-functional Collaboration Dashboards Data analysis Data Architecture Data engineering Data Governance Data Infrastructure Data Integration Data Management Data Modeling Data optimization Data Pipelines Data Problem Solving Data Quality Data Science Data Security Data Sourcing Data Storytelling Data Visualization Design Efficiency Engineering ETL Feedback Frameworks Governance Identity Influence Infrastructure Leadership Logging Solutions Mentoring Modeling Physics Privacy Procedures Product Development Product Management Programming Python Scalable Data Solutions Security Software Engineering Sourcing SQL Strategy Systems Technical Techniques User Experience Virtual reality
Experience3 years
EducationAnalytics Bachelor Bachelor's Bachelor's degree Bachelor's degree in Computer Science Business Computer Engineering Computer Science Data Science Design Engineering Equivalent Management Master Master's Physics Relevant technical field Software Engineering Technical field Technology
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9