채용

Data Engineering Manager, Analytics (Central Products)

Meta

Menlo Park, CA

On-site

Full-time

1mo ago

Benefits & Perks

•Top Tier compensation with equity

•Annual team offsites

•Flexible PTO policy

•Learning and development stipend

Required Skills

PyTorch

Apache Spark

TensorFlow

Data Engineering Manager, Analytics (Central Products)

3 weeks ago• Menlo Park, CA
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About Us

Meta builds technologies that help people connect, find communities and grow businesses.
Size: 10000+ employees

Industry: Engineering, Social Media, Technology

We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, there will be a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.

Data Engineering Manager, Analytics (Central Products) Responsibilities:

Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
Build and lead a high-quality BI and Data Warehousing team, designing it to scale
Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
Manage data warehouse plans, drive data quality, and ensure operational efficiency
Design, build, and launch new data models and pipelines in production
Deliver high-impact dashboards and data visualizations
Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies

Minimum Qualifications:

A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
8+ years of experience in BI and Data Warehousing
Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
Experience communicating results of analysis to executive leadership
Project management experience
Data architecture experience
Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
2+ years of experience managing people with experience scaling and managing 3+ person teams
Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management

Preferred Qualifications:

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Experience scaling and managing teams with 5 or more individuals
Advanced Degree in Computer Science, Math, Physics, or other technical fields
Experience in a consumer web or mobile company

About 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 Whats App 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 accommodations-ext@meta.com.

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

Individual 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.

Client-provided location(s): Menlo Park, CA

Job ID: a1KDp00000E2ZEMMA3

Employment Type: OTHER

Posted: 2026-01-08T19:29:02
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Perks and Benefits

Health and Wellness

Health Insurance
Health Reimbursement Account
Dental Insurance
Vision Insurance
Life Insurance
Short-Term Disability
Long-Term Disability
FSA
FSA With Employer Contribution
HSA
HSA With Employer Contribution
Fitness Subsidies
On-Site Gym
Mental Health Benefits

Parental Benefits

Birth Parent or Maternity Leave
Non-Birth Parent or Paternity Leave
Fertility Benefits
Adoption Assistance Program
Family Support Resources

Work Flexibility

Flexible Work Hours
Remote Work Opportunities
Hybrid Work Opportunities

Office Life and Perks

Commuter Benefits Program
Casual Dress
Happy Hours
Snacks
Some Meals Provided
Company Outings
On-Site Cafeteria
Holiday Events

Vacation and Time Off

Paid Vacation
Unlimited Paid Time Off
Paid Holidays
Personal/Sick Days
Sabbatical
Leave of Absence

Financial and Retirement

401(K)
401(K) With Company Matching
Pension
Company Equity
Performance Bonus
Relocation Assistance
Financial Counseling

Professional Development

Learning and Development Stipend
Promote From Within
Mentor Program
Shadowing Opportunities
Access to Online Courses
Lunch and Learns
Internship Program

Diversity and Inclusion

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