Data Engineering Manager, Analytics (Monetization)

Meta

Bellevue, WA

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JOB DETAILS

SKILLS

Analysis Skills, Apache Hadoop, Business Intelligence, Computer Science, Cross-Functional, Customer Satisfaction, Data Analysis, Data Management, Data Modeling, Data Quality, Data Science, Data Sets, Data Visualization, Data Visualization Tools, Data Warehousing, Engineering Management, Java, Leadership, Leading Edge Technology, Mathematics, Needs Assessment, Object Oriented Programming (OOP) Languages, Operational Strategy, Operations Management, People Management, Physics, Product Management, Product Planning, Product Support, Product/Service Launch, Project/Program Management, Python Programming/Scripting Language, Reporting Dashboards, SQL (Structured Query Language), Service Level Agreement (SLA), Software Engineering, Team Lead/Manager

LOCATION

Bellevue, WA

POSTED

30+ days ago

**Summary:** 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. **Required Skills:** Data Engineering Manager, Analytics (Monetization) Responsibilities: 1. Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical 2. Build and lead a high-quality BI and Data Warehousing team, designing it to scale 3. Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs 4. Manage data warehouse plans, drive data quality, and ensure operational efficiency 5. Design, build, and launch new data models and pipelines in production 6. Deliver high-impact dashboards and data visualizations 7. Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production 8. Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies **Minimum Qualifications:** Minimum Qualifications: 9. 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 10. 8+ years of experience in BI and Data Warehousing 11. Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields 12. Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance 13. Experience communicating results of analysis to executive leadership 14. Project management experience 15. Data architecture experience 16. Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.) 17. 2+ years of experience managing people with experience scaling and managing 3+ person teams 18. Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management **Preferred Qualifications:** Preferred Qualifications: 19. Experience with data sets, Hadoop, and data visualization tools 20. Experience in a consumer web or mobile company 21. Advanced degree **Public Compensation:** $177,000/year to $error/year + bonus + equity + benefits We apologize for the inconvenience, please be patient as we work to correct the issue. **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 accommodations-ext@meta.com.

Data Engineering Manager, Analytics (Monetization)

Meta

Bellevue, WA

About the Company

Meta

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