Data Engineer, Product Analytics

Meta; Sunnyvale (CA); On-site; USD 147,000 - 208,000; Full time

Job summary

Meta is seeking a Data Engineer for Product Analytics to shape data architectures for the company’s broad set of apps, including Facebook, Instagram, Messenger, WhatsApp, and Reality Labs.

You will collaborate with software engineers, data scientists, and product managers to design scalable data solutions that optimize growth, strategy, and user experience for billions of users and hundreds of millions of businesses.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or an equivalent technical field.
• 4+ years of experience working with data in roles such as data analyst, data scientist, or data engineer.
• 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (Python, C++, C#, Scala, etc.).

Responsibilities

• Conceptualize and own the data architecture for multiple large-scale projects, evaluating design and cost-benefit tradeoffs.
• Create and contribute to frameworks that improve data logging and collaboration with data infrastructure to triage issues.
• Collaborate with engineers, product managers, and data scientists to understand data needs and present key insights.
• Define and manage SLAs for all data sets in allocated areas of ownership.
• Determine and implement privacy-based security models, ensure safeguards, and evolve governance processes.
• Design, build, and launch complex data models and visualizations supporting multiple use cases across products.
• Solve challenging data integration problems using ETL patterns, frameworks, and queries across structured and unstructured sources.
• Assist in owning production processes and optimize code with advanced algorithms.
• Optimize pipelines, dashboards, and frameworks to streamline data artifact development.
• Influence product and cross-functional teams to identify data opportunities for impact.
• Mentor team members through feedback and collaboration.

Skills

SQL

ETL

Data modeling

Education

Bachelor's degree in Computer Science/Engineering or equivalent

Tools

Python

C++

C#

Scala

Job description

Summary

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.

Required Skills

Data Engineer, Product Analytics Responsibilities

1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems

2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve

3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way

4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership

5. 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

6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains

7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources

8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts

9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

10. Influence product and cross-functional teams to identify data opportunities to drive impact

11. Mentor team members by giving/receiving actionable feedback

Minimum Qualifications

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

2. 4+ 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

3. 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications

1. Master's or Ph.D degree in a STEM field

2. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

3. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

4. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Public Compensation

$147,000/year to $208,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Aff? 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].