Explore AI roles

Keyboard friendly • Copy, share & save roles

Sort by

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across o...

Remote Ai Machine Learning Data Science

$173k - $242k · Senior Fully remote

Apply

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for a...

Remote Ai Machine Learning Fulltime

$177k - $251k · Senior Fully remote

Apply

At Meta Reality Labs, we are developing the future of Wearables and Mixed Reality products. This team focuses on deve...

Ai Machine Learning Fulltime

$170k - $240k · Senior Fully remote

Apply

Meta is looking for a Privacy and Data Policy manager who is experienced in building products with privacy at their c...

Ai Machine Learning Fulltime

$158k - $228k · Senior Fully remote

Apply

Meta is looking for a Privacy and Data Policy manager who is experienced in building products with privacy at their c...

Ai Machine Learning Fulltime

$158k - $228k · Senior Fully remote

Apply

We are seeking a Data Engineering leader to drive the direction of products that impact over 1 billion people daily. ...

Ai Machine Learning Data Science Data Engineer

$206k - $281k · Senior Fully remote

Apply

Meta is looking for a Privacy and Data Policy manager who is experienced in building products with privacy at their c...

Ai Machine Learning Fulltime

$158k - $228k · Senior Fully remote

Apply

Meta is looking for a Privacy and Data Policy manager who is experienced in building products with privacy at their c...

Ai Machine Learning Fulltime

$158k - $228k · Senior Fully remote

Apply

MSL Content Engineering supports critical initiatives across the broader MSL Organization and is seeking an experienc...

Ai Machine Learning Robotics Fulltime

$105k - $152k · Senior Fully remote

Apply

Showing 26–34 of 34 AI roles

Selected role

Data Engineer Product Analytics

Meta

Live

$173k - $242k · Senior Full-time Posted 25 days ago 5 min read

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:

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

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@fb.com.

$173,000/year to $242,000/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.

Ready to apply? You'll go straight to the hiring team.

No agency in the middle · Your profile is shared privately.

Explore the complete AI ecosystem

Discover the best AI-first companies, podcasts, events, learning paths, and jobs in one focused hub.

AI Learning Hub · Always curated, never noisy

Simple pricing for serious AI hiring

Pay per listing. No subscriptions, no hidden fees. Designed for teams hiring for high-impact AI roles.

No-risk: replace or refund if the role doesn’t get traction.

Standard listing

Reach active AI talent

For startups

$349 per role

30-day live listing in the AI job feed.
Structured posting written for AI engineers (we’ll help refine copy).
Instant alerts to subscribed candidates for your tags (LLMs, agents, infra, etc.).

Most teams see first applicants within 24–48 hours.

Max visibility to senior talent

For scale-ups

$649 per role

Everything in Standard, plus homepage & “Featured role” placement.
Priority placement in weekly AI roles newsletter.
1:1 review of your role with DevFound to calibrate for top-tier candidates.
Highlight badge on job page to increase conversion.

Best for teams hiring 1–3 critical AI roles this quarter.

Machine Learning Jobs at Meta

Explore AI roles

Data Engineer Product Analytics

Production Engineer

Materials Engineer

Privacy Data Policy Manager

Privacy Data Policy Manager

Data Engineering Leader Analytics XF

Privacy Data Policy Manager

Privacy Data Policy Manager

Content Engineer

Explore the complete AI ecosystem

Choose Your Plan

Simple pricing for serious AI hiring

Reach active AI talent

Max visibility to senior talent