Senior Product Analytics Data Engineer

Meta; Dover (DE); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Data Engineer to shape data platforms for Facebook, Instagram, and beyond, building scalable data solutions across products and internal tools. You will partner with software engineers, data scientists, and product managers to craft data artifacts, improve logging, and ensure data security and quality for billions of users and businesses.

You will guide architecture, governance, and analytics approaches, delivering visualizations and datasets to answer business questions and

Qualifications

• Bachelor's degree in CS/engineering or equivalent practical experience.
• 7+ years of data-focused experience in roles such as data engineer, analyst, or scientist.
• 7+ years with SQL, ETL, data modeling, and at least one programming language such as Python.

Responsibilities

• Conceptualize and own data architecture for large-scale projects.
• Develop logging frameworks and collaborate with data infrastructure to triage issues.
• Collaborate with engineers, PMs, and data scientists to translate data needs into insights.
• Define and manage SLAs for data sets and ensure data security and quality.
• Design and launch data models and visualizations supporting multiple use cases.
• Solve complex data integration problems using ETL patterns and diverse data sources.
• Optimize pipelines, dashboards, and systems to ease development of data artifacts.
• Influence cross-functional teams to identify data opportunities and impact.
• Mentor teammates with actionable feedback.

Skills

Data Architecture

Data Governance

Logging & Observability

Visualization

Education

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

Tools

SQL

ETL

Data Modeling

Python

Job description

Meta is seeking a Data Engineer to shape data platforms for Facebook, Instagram, and beyond, building scalable data solutions across products and internal tools. You will partner with software engineers, data scientists, and product managers to craft data artifacts, improve logging, and ensure data security and quality for billions of users and businesses.

You will guide architecture, governance, and analytics approaches, delivering visualizations and datasets to answer business questions and