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Jobright.ai

Mid-Level Data Engineer, Product Analytics

Jobright.ai, San Francisco, California, United States, 94199

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Mid-Level Data Engineer, Product Analytics

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Mid-Level Data Engineer, Product Analytics

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Jobright.ai Mid-Level Data Engineer, Product Analytics

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Mid-Level Data Engineer, Product Analytics

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Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: 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 enhance user experiences and optimize business strategies across various applications. You will collaborate with cross-functional teams to address complex data challenges and drive impactful solutions. Responsibilities: • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems • Create and contribute to frameworks that improve the efficacy of logging 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 • Define and manage Service Level Agreements for all data sets in allocated areas of ownership • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts • Influence product and cross-functional teams to identify data opportunities to drive impact • Mentor team members by giving/receiving actionable feedback Qualifications: Required: • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience • 4+ 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 • 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.) Preferred: • Master's or Ph.D degree in a STEM field Company: Meta is a social technology company that enables people to connect, find communities, and grow businesses. Founded in 2004, the company is headquartered in Menlo Park, California, USA, with a team of 10001+ employees. The company is currently Public Company. Meta has a track record of offering H1B sponsorships. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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