Privacy Engineer
Meta
Privacy Engineer
Meta
Posted 16 days ago
Full Time
Menlo Park, California
In Person
Smart Summary
Responsibilities include triaging incidents, identifying facts, assessing impact, and ensuring proper remediation and root cause analysis. The role requires applying technical understanding to learn from incidents and prevent recurrence.
Seeking a Privacy Engineer with a Bachelor's degree in Computer Science or related field and one year of experience. Must have experience coding in Python, PHP, Java, C/C++ and identifying privacy/security threats. Familiarity with SQL, AI frameworks, and distributed data systems is essential.
Must Have Skills for ATS
Python
PHP
Java
C/C++
SQL
PyTorch
Apache Airflow
ETL
Hive
Presto
Spark
Scuba
Data Validation
Continuous Integration
Continuous Deployment
Job Description
Responsibilities
- Triage & fact identification: Get the right people involved to understand what has happened and assess impact.
- Follow the facts uncovered in triage to mitigate and remediate the incident.
- Review and understand what happened and ensure that the root cause and contributing factors are identified, documented, and remediated.
- Apply technical understanding to ensure Meta learns from each incident to ensure it doesn’t resurface.
Minimum Qualifications
- Bachelor’s degree (or foreign equivalent) in Computer Science, Information Technology or a related field and 1 year of experience in the job offered or in a computer-related occupation
- Experience must include 1 year in the following:
- Coding in Python, PHP, Java, C/C++ (or equivalent language) including code maintenance and review
- Identifying, analyzing, and remediating real-world privacy/security threats
- SQL and ability to write complex queries for data extraction, transformation, and filtering from large datasets
- Python for scripting, automation, and building scalable data processing workflows
- AI frameworks such as PyTorch
- Apache Airflow, data swarms, and pipeline frameworks for managing ETL processes
- Distributed data systems such as Hive, Presto, Spark, or Scuba for handling large-scale data
- Implementing data validation, monitoring, and auditing to ensure compliance with privacy requirements
- Automated tests and continuous integration/continuous deployment pipelines for data engineering projects to maintain reliability and privacy standards
$222,950/year to $250,250/year + bonus + equity + benefits
Meta
Meta's mission is to build the future of human connection and the technology that makes it possible. Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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 help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following: • Start with an open mind. Whether you agree or disagree, engage with empathy. • Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect. • Keep it constructive. Use your interactions here to learn about and grow your understanding of others. • Our moderators are here to uphold these guidelines for the benefit of everyone, every day. • If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community). For a full listing of our jobs, visit https://www.metacareers.com
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