Summary

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 (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). 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.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You\'ll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won\'t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Required Skills

Data Engineer, Product Analytics Responsibilities:

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

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

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

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

5. Improve logging

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

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

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

Minimum Qualifications

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent

2. 2+ 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

3. 2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Preferred Qualifications

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

Industry: Internet