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Data Engineering Leader, Analytics

Meta

Data Engineering Leader, Analytics

Meta

Menlo Park, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$210,000 - $210,000

Benefits & Perks

Parental leave

Team events and activities

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

401(k) matching

Competitive salary and equity package

Parental Leave

Healthcare

Equity

Required Skills

Node.js

Python

TypeScript

We are seeking a Data Engineering leader to drive the direction of products that impact over 1 billion people daily. As a key member of our team, you will work closely with cross-functional partners to build data architecture that informs and drives insight, supporting key decision making and investment. You will have the opportunity to work with some of the brightest minds in the industry, utilize cutting-edge technology, and observe your efforts directly impact company growth and user satisfaction.

Data Engineering Leader, Analytics Responsibilities:

  • Mission and Strategy: Proactively drive the vision for BI and Data Warehousing across a product vertical and execute plans to achieve it
  • Team Building: Build and scale a high-quality BI and Data Warehousing team
  • Cross-Functional Collaboration: Establish relationships with Data Scientists, Product Managers, and Software Engineers to understand and meet data needs
  • Data Warehouse Management: Lead data warehouse plans and ensure alignment with product vertical goals
  • Data Model and Pipeline Development: Lead the design, building, and launching of new data models and pipelines in production
  • Data Quality Assurance: Ensure data quality across the product vertical and related business areas
  • Dashboard and Visualization Delivery: Manage the delivery of impactful dashboards and data visualizations
  • Service Level Agreements: Define and manage SLAs for all data sets and processes in production
  • Possess in depth data infrastructure and architecture skills, a proven track record of leading and scaling data engineering teams, operational expertise, project management leadership, and a vision for how data engineering can proactively improve companies
  • Define processes to achieve operational efficiency, including project management and system reliability

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Project management experience
  • Data architecture experience
  • Experience in SQL or similar languages
  • 9+ years of experience in BI and Data Warehousing
  • 2+ years of experience managing managers
  • Communication and leadership experience, with experience initiating and driving projects
  • Experience scaling and managing 10+ person teams
  • Development experience in at least one object-oriented language (Python, Java, etc.)

Preferred Qualifications:

  • Experience in a consumer web or mobile company
  • Advanced Degree in Computer Science, Math, Physics, or other technical fields
  • Experience with data sets, Hadoop, and data visualization tools

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.

$210,000/year to $281,000/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.

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About Meta

Meta

Meta

Public

A social technology company that enables people to connect, find communities, and grow businesses.

10,001+

Employees

Menlo Park

Headquarters

$800B

Valuation

Reviews

3.4

26 reviews

Work Life Balance

2.3

Compensation

4.2

Culture

2.8

Career

3.1

Management

2.1

45%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Fast-paced and challenging work environment

Cons

Frequent layoffs and job insecurity

Poor leadership and management accountability

High stress and competitive work environment

Salary Ranges

40,175 data points

Mid/L4

Mid/L4 · Data Scientist

3,113 reports

$284,667

total / year

Base

$179,458

Stock

$79,981

Bonus

$25,228

$193,897

$434,902

Interview Experience

6 interviews

Difficulty

4.2

/ 5

Duration

21-35 weeks

Offer Rate

17%

Experience

Positive 17%

Neutral 17%

Negative 66%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Coding Interviews

6

System Design Interview

7

Behavioral Interview

8

Final Loop/Hiring Manager Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Live Coding