Data Engineer, Product Analytics

Meta; Saint Paul (MN); On-site; USD 177,000 - 247,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Data Engineer to shape data architecture for products across Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads. You will design scalable data solutions for billions of users and hundreds of millions of businesses, collaborating with software engineers, data scientists, and product managers.

You will own data models, ETL patterns, and governance, while mentoring teammates and ensuring privacy and security practices across varied domains.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 7+ years of hands-on work with data across analytics, engineering, or data science roles.
• 7+ years with SQL, ETL, data modeling, and at least one programming language (Python, C++, Java, Scala).

Responsibilities

• Conceptualize and own data architecture for large-scale projects, weighing design and cost-benefit tradeoffs.
• Develop frameworks to improve data logging and triage data infrastructure issues.
• Collaborate with engineers, product managers, and data scientists to deliver meaningful data insights.
• Define and manage SLAs for data sets in ownership areas.
• Determine and implement privacy-aligned security models and governance processes.
• Design and launch sophisticated data models and visualizations for multiple use cases.
• Resolve complex data integration problems using optimal ETL patterns and querying techniques.
• Improve production data pipelines, dashboards, and development environments.
• Influence cross-functional teams to identify data opportunities and drive impact.
• Mentor teammates with actionable feedback and knowledge sharing.

Skills

SQL

ETL

Data modeling

Python

Scala

Data analytics

Education

Bachelor's degree in CS/Engineering

Master's/PhD preferred

Tools

AI tools

ETL frameworks

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 visually 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:

Minimum Qualifications:

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

2. 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

3. 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:

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:

$177,000/year to $247,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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].