Data Engineering Manager, Analytics
Menlo Park, CA | Remote, US
Meta
Giving people the power to build community and bring the world closer together
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.Data Engineering Manager, Analytics Responsibilities
$248,920/year to $279,400/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.
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 here.
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 accommodations-ext@meta.com.
- Design and develop creative and innovative solutions to manipulate and transform data coming from diverse domains and components operating in facebook.com, such as advertisements and pages, as well as other custom software systems and databases.
- Design, architect and develop data solutions that help product and business teams make data driven decisions.
- Lead data solution design efforts from beginning to end, as well as process for the development and implementation of data integration for external insights.
- Work on Data Warehouse and operational Data Store.
- Leverage a homegrown Extract, Transform, Load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.
- Collaborate with data infrastructure and engineering teams to build and extend cross platform ETL and reports generation frameworks.
- Provide consultation to business partners, analysts, managers, end users and developers to clarify work objectives, determine project scope, obtain consensus, identify problems and recommend solutions.
- Support end users on ad hoc data usage and serve as a subject matter expert on functional matters.
- Develop ETL using Python, Perl PHP or similar technologies.
- Apply expert knowledge of ETL techniques and best practices to manage extremely large volumes of data, Data warehousing architecture, data modeling best practices, MicroStrategy or other similar Business Intelligence (BI) reporting solutions.
- Work with database programming and performance tuning techniques and strong analytical skills, including the ability to define problems, collect data, establish facts, and draw valid conclusions.
- Telecommute from anywhere in the U.S. permitted.
- Requires a Master’s degree in Computer Science, Applied Sciences, Mathematics, Information Systems, Information Technology, Management or related field and three years of work experience in the job offered or in a computer-related occupation. Foreign Degree Equivalent Accepted.
- Requires three years of experience in the following:
- 1. Data warehouse space
- 2. Custom ETL design, implementation and maintenance
- 3. Working with either a MapReduce or an MPP system
- 4. Object-oriented programming languages
- 5. Schema design and dimensional data modeling
- 6. Writing SQL statements
- 7. Analyzing data to identify deliverables, gaps and inconsistencies and
- 8. Managing and communicating data warehouse plans to internal clients.
$248,920/year to $279,400/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.
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 here.
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 accommodations-ext@meta.com.
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Tags: Architecture Business Intelligence Computer Science Data warehouse Data Warehousing Engineering ETL Mathematics MPP OOP Perl PHP Physics Python SQL VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
Regions:
Remote/Anywhere
North America
Country:
United States
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