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Data Engineer, Trust & SafetyMeta Platforms, Inc.New York, New York, United States
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Data Engineer, Trust & Safety

Meta Platforms, Inc.
  • US
    New York, New York, United States
  • US
    New York, New York, United States

Über

Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. As a data engineer in the team, you will play a critical role in ensuring the safety and well‑being of our users by using data to identify and mitigate risks. You will have the opportunity to work on complex and meaningful problems that have a direct impact on the lives of people around the world. You will have the chance to work with cutting‑edge technology and tools to develop innovative solutions to some of the most pressing challenges facing our platform. You will have the satisfaction of knowing that your work is making a real difference in the lives of people and helping to create a safer and more trustworthy online community.
Data Engineer, Trust & Safety 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 SLA 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 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
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
4+ years of work experience in data engineering (a minimum of 2+ years with a Ph.D.).
Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.).
Preferred Qualifications
Master's or Ph.D. degree in a STEM field.
Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy.
Experience working with terabyte to petabyte scale data.
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@fb.com.
$134,000/year to $204,000/year + bonus + equity + benefits
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits.
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  • New York, New York, United States

Sprachkenntnisse

  • English
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