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Data Engineer at Meta
Menlo Park, California, United States -
Full Time

Start Date

Immediate

Expiry Date

26 Jun, 26

Salary

199650.0

Posted On

28 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Java, SQL, Statistical Modeling, Regressions, K-Means, KNN, Anomaly Detection, Data Quality, Feature Drift, Visualization, Data Analysis, Data Models, Data Processes, Data Warehouse

Industry

Software Development

Description
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. Responsibilities Architect, implement and deploy new data models and data processes in production. Perform data analysis to generate business insights. Interface with Engineers, Product Managers and Product Analysts to understand product goals and data needs. Build data expertise and own data quality for allocated areas of ownership. Manage data warehouse plans for a product or a group of products. Support critical data processes running in production. Minimum Qualifications Requires a Bachelor's degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics or related field. Requires completion of a university-level course, research project or internship involving the following: Programming in Python or Java SQL Statistical modeling techniques such as: regressions, k-means, or knn Anomaly detection techniques (data quality or feature drift) and Visualization tools such as: unidash, tableau, quicksite, or similar tool $179,685/year to $199,650/year + bonus + equity + benefits
Responsibilities
The role involves architecting, implementing, and deploying new data models and processes in production, alongside performing data analysis to generate business insights. Responsibilities also include interfacing with cross-functional teams to understand data needs and owning data quality for allocated areas.