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Data Engineer, Product Analytics

Data Engineer, Product Analytics

1 Month ago • 2 Years + • Data Analyst

About the job

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Job Description

As a Data Engineer at Meta, you'll design and build scalable data solutions across Facebook, Instagram, Messenger, WhatsApp, and more, impacting billions of users and businesses. Collaborating with engineering, data science, and product teams, you'll optimize growth, strategy, and user experience. Responsibilities include managing data warehouse plans, identifying data needs, building data models and visualizations, ensuring data quality and security, and communicating data-driven insights to influence product development. You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. This role requires strong SQL, ETL, data modeling, and programming skills (e.g., Python).

Must have:

2+ years data experience (analyst, scientist, engineer)
SQL, ETL, data modeling expertise
Proficiency in at least one programming language (Python, etc.)
Build scalable data solutions
Data quality and security
Data-driven storytelling and influence

Good to have:

Master's or Ph.D. in STEM
Experience with large-scale datasets

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

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent

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

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

For those who live in or expect to work from California if hired for this position, please click for additional information.

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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.

$error/year to $error/year + bonus + equity + benefits We apologize for the inconvenience, please be patient as we work to correct the issue.

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 at Meta.

Equal Employment Opportunity and Affirmative Action

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, 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 .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .

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