Senior Data Engineer: Product Analytics & Insights

Meta; Indianapolis (IN); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Data Engineer to shape data products for its suite of apps, including Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. You will design scalable data architectures and build data artifacts powering billions of user experiences.

Collaborate with engineers, data scientists, and product managers to deliver data-driven insights, ensure data security and governance, and mentor teammates while advancing data tooling and efficiency.

Qualifications

• Bachelor's degree and 7+ years of data-focused experience.
• 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala).
• Experience designing data architecture and owning data pipelines across large-scale projects.

Responsibilities

• Conceptualize and own the data architecture for large-scale projects.
• Create/log data frameworks and triage data issues.
• Collaborate with engineers, PMs, and data scientists to translate data needs into visuals.
• Define and manage SLAs for data sets.
• Implement security models per privacy requirements and governance processes.
• Design and launch data models and visualizations for multiple use cases.
• Solve data integration with ETL patterns across sources.

Skills

SQL

ETL

Data modeling

Programming languages (Python, C++, C#

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Master's or Ph.D degree in a STEM field

Job description

Meta is seeking a Data Engineer to shape data products for its suite of apps, including Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. You will design scalable data architectures and build data artifacts powering billions of user experiences.

Collaborate with engineers, data scientists, and product managers to deliver data-driven insights, ensure data security and governance, and mentor teammates while advancing data tooling and efficiency.