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Data Engineer, Product Analytics
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Data Engineer, Product Analytics
Meta PlatformsUnited StatesData Engineer, Product AnalyticsJob Title: Data Engineer, Product Analytics Job Description: This is the main content of the job post. It includes detailed information about the role, responsibilities
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Data Engineer, Product Analytics
- New York, New York, United States
- New York, New York, United States
À propos
Required Skills Data Engineer, Product Analytics 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
Minimum Qualifications
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
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)
Preferred Qualifications
Master's or Ph.D degree in a STEM field
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Public Compensation $114,000/year to $173,000/year + bonus + equity + benefits
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.
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Compétences linguistiques
- English
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