Data Engineer, Product Analytics

Data Engineer, Product Analytics

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide. In this role, you will collaborate with software engineering, data science, and product management teams to design / build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community. You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Responsibilities

Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.

Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.

Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way.

Define and manage Service Level Agreements for all data sets in allocated areas of ownership.

Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.

Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.

Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.

Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.

Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

Influence product and cross-functional teams to identify data opportunities to drive impact.

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 experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions.

4+ years of 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.

$145,000 / year to $204,000 / year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location.