Data Engineer, Meta Superintelligence Labs (Privacy)

Meta; Menlo Park (CA); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta's PAR team is transforming breakthrough AI research into products affecting billions of people. As a Data Engineer in Meta Superintelligence Labs (Privacy), you will own the data architecture for large-scale projects, enforce privacy controls, and collaborate with engineers, PMs, and data scientists to deliver secure, scalable data pipelines across Meta's products.

You will mentor teammates, refine logging, and drive governance across datasets.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 7+ years of experience with data engineering, analytics, or related roles.
• Proficiency with SQL, ETL, data modeling, and at least one programming language (Python, C++, C#, Scala, etc.).
• Experience designing privacy or data-governance controls in large-scale production data pipelines, including consent/logical checks, anonymization, and data deletion/retention.
• Experience implementing access controls and governance for sensitive data via automated enforcement.
• Ability to translate privacy, legal, or regulatory requirements into technical controls with cross-functional partners.

Responsibilities

• Conceptualize and own data architecture for multiple large-scale projects with cost-benefit tradeoffs.
• Create and contribute to data-logging frameworks and scalable data models.
• Collaborate with engineers, product managers, and data scientists to define data needs and visualize insights.
• Define and manage SLAs for data sets within ownership.
• Design and implement security models based on privacy requirements and governance processes.
• Build sophisticated data models and visualizations for multiple use cases across products.
• Solve complex data integration problems using ETL patterns and cross-source sourcing.
• Optimize production data pipelines and mentor engineers to drive independent ownership.

Skills

SQL

ETL

Data modeling

Python

C++

Scala

Privacy controls

Data governance

Access controls

Education

Bachelor's degree in Computer Science or equivalent

Master's or Ph.D. preferred

Tools

SQL tooling

Job description

Meta’s Products & Applied Research (PAR) team is where product-focused research meets real-world impact, taking breakthrough AI research and transforming it into products that reach billions. As part of Meta Superintelligence Labs (MSL), we’re driving the transformation of Meta’s core experiences—across Facebook, Instagram, WhatsApp, Threads, and beyond—by applying cutting-edge research to real-world products at massive scale.We are looking for a Data Engineer to join our PAR organization where 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, privacy, research, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience.You will own the privacy architecture for large-scale data pipelines that support AI model development. You will design and enforce the controls that determine whether data is permissible to use — consent and jurisdiction logic, personal-information filtering and anonymization, deletion and retention semantics, and access controls for sensitive fields. You will build these guarantees to be structural rather than manual: enforced automatically at write time, validated in continuous integration, and designed so that processing halts rather than proceeds when a control cannot be applied.You will set the privacy engineering standards that other data engineers build against, define how new data surfaces onboard to those standards, and mentor engineers into independent ownership of parts of the architecture.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, Meta Superintelligence Labs (Privacy) Responsibilities:Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systemsCreate and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolveCollaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful wayDefine and manage Service Level Agreements for all data sets in allocated areas of ownershipDetermine 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 ownershipDesign, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domainsSolve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sourcesAssist in owning existing processes running in production, optimizing complex code through advanced algorithmic conceptsOptimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifactsInfluence product and cross-functional teams to identify data opportunities to drive impactMentor team members by giving/receiving actionable feedbackMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience7+ 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 positions7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)Experience designing and implementing privacy or data-governance controls in large-scale production data pipelines, including consent or eligibility logic, personal-information filtering or anonymization, and data deletion and retention requirementsExperience implementing access controls and data-governance mechanisms for sensitive data, including automated or programmatic enforcement rather than manual remediationExperience translating privacy, legal, or regulatory requirements into verifiable technical controls, working with policy, legal, or compliance partnersPreferred Qualifications:Master's or Ph.D degree in a STEM fieldDemonstrated 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 technologiesExperience building privacy or compliance controls for data used in machine learning or model trainingExperience establishing data-governance standards and onboarding processes that multiple teams or product surfaces adoptExperience implementing data deletion propagation or retroactive data-remediation processes across historical dataExperience serving as a technical lead, including setting technical direction and mentoring other engineersAbout 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 [e-mail].$177,000/year to $247,000/year + bonus + equity + benefitsIndividual 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.