Data Engineer, Product Analytics

As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.

Responsibilities:

• Conceptualize and own the data architecture for multiple large-scale projects
• Create and contribute to frameworks that improve the efficacy of logging data
• Collaborate with engineers, product managers, and data scientists to understand data needs
• Define and manage SLA for all data sets in allocated areas of ownership
• Determine and implement the security model based on privacy requirements
• Design, build, and launch sophisticated data models and visualizations
• Solve challenging data integration problems
• Assist in owning existing processes running in production
• Optimize pipelines, dashboards, frameworks, and systems
• Influence product and cross-functional teams to identify data opportunities
• 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 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 accommodations for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.