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Meta · 10 hours ago

Data Engineer, Product Analytics

Burlingame, CA

Full-time

Onsite

Entry, Mid Level

$114K/yr - $173K/yr

2+ years exp

Meta builds technologies that help people connect, find communities, and grow businesses. As a Data Engineer at Meta, you will design and build extensive data sets to optimize growth, strategy, and user experience for billions of users and businesses. You will collaborate with various teams to create scalable data solutions and influence product development through data-driven insights.

Computer Software

Comp. & Benefits

Responsibilities

Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems

Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve

Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way

Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership

Design, build and launch new data models and visualizations in production, leveraging common development toolkits

Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries

Support existing processes running in production and implement optimized solutions with limited guidance

Define and manage Service Level Agreements for data sets in allocated areas of ownership

Qualification

SQLETLData modelingPythonData analysisData visualizationCommunicationCollaboration

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions

2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)