Data Engineer – Product Analytics at Meta
Meta is seeking skilled Data Engineers to design and build large‑scale data solutions that power billions of users across its family of apps.
Table of Contents
- Job Overview
- About Meta
- Role Summary
- Key Responsibilities
- Qualifications & Eligibility
- Required Skills
- Location & Work Mode
- Compensation
- How to Apply
- FAQs
Job Overview
| Detail | Information |
|---|---|
| Position | Data Engineer, Product Analytics |
| Location | Sunnyvale, CA; Remote, US; Bellevue, WA; Redmond, WA; Menlo Park, CA; Burlingame, CA; New York, NY; San Francisco, CA |
| Employment Type | Full‑time |
| Salary | $147,000 – $208,000 per year + bonus + equity + benefits |
| Experience Required | 4+ years working with data |
| Education | Bachelor’s degree in Computer Science, Engineering or related field |
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. Its suite of apps—including Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads—serves billions of users worldwide.
Role Summary
As a Data Engineer you will design, build, and maintain scalable data sets and pipelines, collaborate with software engineers, data scientists, and product managers, and turn data into actionable insights that drive product strategy.
Key Responsibilities
- Conceptualize and own data architecture for large‑scale projects.
- Create frameworks to improve logging data and resolve infrastructure issues.
- Collaborate with cross‑functional teams to translate data needs into solutions.
- Define and manage Service Level Agreements for owned data sets.
- Implement security models, ensure data quality, and evolve governance processes.
- Design, build, and launch sophisticated data models and visualizations.
- Solve complex data integration problems using optimal ETL patterns.
- Optimize production pipelines and dashboards for performance.
- Mentor team members and provide actionable feedback.
Qualifications & Eligibility
Minimum Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience.
- 4+ years of experience working with data (e.g., data analyst, data scientist, data engineer).
- 4+ years of experience with SQL, ETL, data modeling, and at least one programming language such as Python, C++, C#, or Scala.
Preferred Qualifications
- Master’s or Ph.D. in a STEM field.
- Experience integrating AI tools to optimize workflows.
- Demonstrated commitment to responsible, ethical AI practices.
- Ongoing AI skill development (e.g., prompt engineering, agent orchestration).
Required Skills
- Strong SQL and data modeling expertise.
- Proficiency in at least one programming language (Python preferred).
- Experience with ETL frameworks and pipelines.
- Understanding of data security, privacy, and governance.
- Ability to communicate data‑driven insights clearly.
- Collaboration skills across engineering, product, and data science teams.
Location & Work Mode
Positions are available in multiple U.S. cities and remote across the United States.
Compensation
Base salary ranges from $147,000 to $208,000 per year, plus bonus, equity, and comprehensive benefits.
How to Apply
- Visit the official Meta job posting: Meta Careers – Data Engineer.
- Review the role details and ensure you meet the minimum qualifications.
- Click the “Apply for this job” button on the page.
- Complete the online application form, attaching your resume and any supporting documents.
- Submit your application and monitor your email for next‑step communications.
Frequently Asked Questions
- What is the salary range for this role? The base salary is $147,000–$208,000 per year, plus bonus, equity, and benefits.
- Can I work remotely? Yes, remote work is offered for candidates in the United States, alongside office locations in several cities.
- What education is required? A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Do I need AI experience? AI experience is listed as a preferred qualification, not a requirement.
- How many years of experience are needed? At least 4 years of data‑focused experience.
