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Data Engineering Manager, Analytics (Cross Meta Integrity)

Data Engineering Manager, Analytics (Cross Meta Integrity)

6 Days ago • 8 Years + • Data Analyst

About the job

Summary_{By Outscal}

9 skills required for this role

Boost these skills to join the top 1% applicants for this job

Must have:

8+ years of experience in BI and Data Warehousing
Experience scaling and managing 8+ person teams
Communication and leadership experience
Project management experience
Data architecture experience
Experience in SQL or similar languages
Development experience in at least one object-oriented language (Python, Java, etc.)
BA/BS in Computer Science, Math, Physics, or other technical fields

Good to have:

Experience in a consumer web or mobile company
Experience in working with cross-functional teams
Experience with data sets, Hadoop, and data visualization tools
Advanced degree

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Cross-Meta Integrity teams work to keep users of our products safe from harm, whether by safeguarding elections or stopping hate and misinformation. Doing this well requires Meta to be efficient and agile, quickly understanding and responding to a broad range of risks as they emerge and evolve. As a result, we have created and continue to build a suite of internal products that allow us to move quickly and efficiently. The Cross Meta Integrity team is responsible for building these products and amplifying Meta’s integrity impact through efficient central technologies and supportive experiences that scale across the Family of Apps. We are looking for an experienced Data Engineering Manager to join the Actor Integrity data engineering team. The Actor Integrity team is solving a very challenging problem of protecting users and advertisers safety on Meta platform. This can be related to accounts that were compromised or users who try to abuse the platform by creating fake accounts or misrepresent themselves. This is a problem that unfortunately many users have encountered. In this role, you will work closely with leads across Data Science, Product Management, Software Engineering, and Research to identify and build data products using cutting-edge technology that impacts the everyday experience of billions of people and millions of businesses. If you are energized by the goal of giving people the power to build community and bring the world closer together and have a passion for helping others, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally.

Data Engineering Manager, Analytics (Cross Meta Integrity) Responsibilities

Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.

Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.

Build a high-quality BI and Data Warehousing team and design the team to scale.

Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.

Manage data warehouse plans across a product vertical.

Drive the design, building, and launching of new data models and data pipelines in production.

Drive data quality across the product vertical and related business areas.

Manage the delivery of high impact dashboards and data visualizations.

Define and manage SLA’s for all data sets and processes running in production.

Minimum Qualifications

8+ years of experience in BI and Data Warehousing.

Experience scaling and managing 8+ person teams.

Communication and leadership experience, with experience initiating and driving projects.

Project management experience.

Data architecture experience.

Experience in SQL or similar languages.

Development experience in at least one object-oriented language (Python, Java, etc.).

BA/BS in Computer Science, Math, Physics, or other technical fields.

Preferred Qualifications

Experience in a consumer web or mobile company.

Experience in working with cross-functional teams.

Experience with data sets, Hadoop, and data visualization tools.

Advanced degree

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Locations

Data Center

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 WhatsApp 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.

Equal Employment Opportunity and Affirmative Action

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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .

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