Privacy Engineer

Meta•Menlo Park, CA

About The Position

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.

Requirements

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

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.