Data Engineer, Product Analytics

Meta; Bellevue (WA); On-site; USD 150,000 - 200,000; Full time

Job summary

Meta is seeking a Data Engineer to shape data for our consumer and business products across Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. You will work with software engineers, data scientists, and product managers to design scalable data solutions for billions of users and hundreds of millions of businesses.

You will guide data modeling, logging, and production data pipelines, ensuring data quality and privacy while driving data-driven product decisions and storytelling

Qualifications

• 2+ years experience with data-focused roles (analyst/scientist/engineer).
• 2+ years experience with SQL, ETL, data modeling, and programming language (Python/C++/C#/Scala).

Responsibilities

• Manage and execute data warehouse plans for a product or group of products to solve well-scoped problems.
• Identify data needed for business problems and implement logging to ensure data availability, triage issues with data infrastructure.
• Collaborate with engineers, product managers and data scientists to understand data needs and present insights.
• Build data artifacts with data controls to ensure privacy, security, quality, and operations.
• Design, build and launch new data models and visualizations in production.
• Independently design, build and launch new data extraction, transformation, and loading processes in production, mentoring others on efficient queries.
• Support existing production processes and implement optimized solutions with limited guidance.
• Define and manage Service Level Agreements for data sets.

Skills

Data analysis

Collaboration

Communication

Problem solving

Education

Bachelor's degree in CS/CE or related field

Tools

SQL

ETL

Python

Data modeling

Job description

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: 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:

• Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
• Identify the data needed for a business problem and implement logging required to ensure availability of 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
• Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
• Design, build and launch new data models and visualizations in production, leveraging common development toolkits
• Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
• Support existing processes running in production and implement optimized solutions with limited guidance
• Define and manage Service Level Agreements for data sets in allocated areas of ownership

Minimum Qualifications:

• 2+ 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
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 2+ 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.

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