2 months ago
Base Salary
$177k - $247k/yr
Responsibilities
- Own data architecture and evaluate operational cost-benefit tradeoffs for multiple large-scale projects.
- Create logging-data frameworks, standards, tooling, and automated validation for client instrumentation across iOS and Android.
- Design, build, optimize, and maintain batch pipelines, ETL processes, data models, dashboards, visualizations, and other data artifacts.
- Implement, debug, and validate product and performance instrumentation directly in production mobile codebases.
- Define and manage service-level agreements, security models, privacy safeguards, data quality processes, and governance standards.
- Solve complex data integration problems using structured and unstructured data sources and advanced query and algorithmic techniques.
- Collaborate with engineering, product management, and data science teams to identify data opportunities and communicate actionable insights.
- Build scalable instrumentation frameworks that enable partner teams to implement high-quality measurement independently.
- Mentor team members through actionable feedback.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- At least 7 years of experience primarily working with data, including data engineering, data science, data analysis, or similar work.
- At least 7 years of experience with SQL, ETL, data modeling, and at least one programming language such as Python, C++, C#, or Scala.
- Experience building batch data pipelines and data foundations with a workflow orchestration framework and a distributed SQL query engine.
- Hands-on experience implementing, debugging, and validating client-side logging and instrumentation in production iOS and Android codebases.
- Experience defining product measurement for consumer-facing products, including engagement, retention, funnel, and latency metrics.
- Preferred: master’s or Ph.D. degree in a STEM field.
- Preferred: experience using AI tools to optimize workflows, implementing responsible AI practices, developing prompt/context engineering or agent orchestration skills, and driving instrumentation standards across teams and client platforms.
Benefits
- Bonus, equity, and benefits are offered in addition to the stated base salary.
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.