Data Engineer, Product Analytics

What you’ll gain

Meta supports remote work and offers a competitive compensation package, with a yearly salary between USD 177,000 and USD 247,000. You will shape product development across Meta’s apps by collaborating with software engineers, data scientists, and product managers, turning data into clear, actionable insights. The role centers on building scalable data architectures, advanced visualizations, and robust data models that inform decisions across teams, while fostering growth through mentorship and cross-functional collaboration.

Responsibilities

• Lead the data architecture for multiple large-scale projects, weighing design options and operational costs to optimize value.
• Develop and contribute to data logging frameworks, coordinating with data infrastructure to triage and resolve issues.
• Work with engineers, product managers, and data scientists to capture data needs and present key insights through meaningful visualizations.
• Define and manage service level agreements for data sets under ownership.
• Design and implement security models aligned with privacy requirements, ensure safeguards are followed, address data quality, and evolve governance within your domain.
• Create and deploy sophisticated data models and visualizations that support diverse use cases across products or domains.
• Address complex data integration challenges using effective ETL patterns, frameworks, and query techniques, sourcing from structured and unstructured data.
• Maintain production processes and optimize code with advanced algorithmic approaches.
• Improve pipelines, dashboards, frameworks, and systems to streamline the development of data artifacts.
• Influence product and cross-functional teams by identifying data opportunities with measurable impact.
• Mentor team members through actionable feedback to support ongoing growth within the group.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
• 7+ years of experience focused on working with data, including roles such as data analyst, data scientist, data engineer, or similar.
• 7+ years with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, or other).

Technologies

SQL, Python, C++, C#, Scala, ETL

Benefits

• Bonus
• Equity
• Benefits