Privacy Engineer

Meta · Big Tech · Menlo Park, CA

Meta is seeking a Privacy Engineer to triage and fact-identify incidents, assess impact, and remediate issues. The role involves applying technical understanding to prevent recurrence and ensure root cause identification. Qualifications include a Bachelor's degree in a related field, experience in coding (Python, PHP, Java, C/C++), identifying and remediating privacy/security threats, SQL for data extraction, Python for scripting and automation, and experience with AI frameworks like PyTorch, data pipeline frameworks (Apache Airflow), distributed data systems (Hive, Presto, Spark), data validation, monitoring, auditing for privacy compliance, and CI/CD for data engineering projects.

What you'd actually do

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.

Skills

Required

Coding in Python, PHP, Java, C/C++
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
Implementing data validation, monitoring, and auditing to ensure compliance with privacy requirements
Automated tests and continuous integration/continuous deployment pipelines for data engineering projects

Nice to have

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

What the JD emphasized

privacy requirements
privacy/security threats

Read full job description

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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 apply, click “Apply to Job” online on this web page.

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.

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