Data Engineer, Analytics (Ranking, AI)

Meta; Seattle (WA); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a senior Data Engineer, Analytics (Ranking, AI) in Seattle, WA. The role focuses on designing and building scalable data solutions for its Ads stack, collaborating with software engineers, data scientists, and product managers to optimize growth and user experience for billions of users.

You will own data architecture, enhance logging and data models, and ensure data security and governance while driving data-driven product insights across multiple campaigns and products.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related technical field.
• 7+ years of experience with data, analytics, or data engineering roles.
• Strong SQL, ETL, data modeling, and at least one programming language (Python/C++/C#/Scala).

Responsibilities

• Conceptualize and own the data architecture for large-scale projects across ads analytics.
• Design and optimize data pipelines, logging, and data artifacts for scalability and reliability.
• Collaborate with engineers, data scientists, and product managers to translate data needs into actionable insights.
• Define and manage SLAs for data sets and ensure data governance and privacy are upheld.
• Develop data visualizations and frameworks to support multiple product use cases.

Skills

SQL

ETL

Data modeling

Python

C++

C#

Scala

Education

Bachelor's degree in CS/CE or related field

Job description

Ranking AI is the central core machine learning org within Meta’s Monetization group, powering Meta’s revenue and business growth by advancing and deploying state-of-the-art Recommendation Systems AI for our Ads stack. We are currently redesigning the large and fragmented ads model space by developing new modeling architectures, advancing the scale limit through model-hardware co-design, and developing techniques that better leverage anonymized, aggregated data. While there is significant focus on innovation, we pride ourselves in being able to translate research to production with high velocity, delivering on half-over-half revenue targets in a predictable fashionAs a Data Engineer at Meta, 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 that few companies can match. By joining Meta, you will become part of a 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 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, Analytics (Ranking, AI) 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.)Preferred Qualifications:Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Master's or Ph.D. degree in a STEM field, with coursework or research in data systems, machine learning, or related areasAbout 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.