Data Engineer for Product Insights

Summary:

As a Data Engineer at Meta, you will play a pivotal role in shaping the future of our user-centric and business-oriented products across platforms like Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. Your technical expertise and analytical mindset will allow you to design and build extensive data sets that enhance the experiences of billions of users and hundreds of millions of businesses worldwide. You will work collaboratively with software engineering, data science, and product management teams to develop scalable data solutions that optimize growth, strategy, and user experience for over 3 billion users and our employee community. You will tackle interesting data challenges at a scale that few companies can match, while being part of a distinguished community of data engineering professionals dedicated to your skill advancement and career growth.

Data Engineering Responsibilities: • Conceptualize and manage the data architecture for numerous large-scale projects, balancing design and operational cost-benefit evaluations. • Create frameworks to enhance the efficacy of data logging, collaborating with data infrastructure to troubleshoot and resolve issues. • Partner with engineers, product managers, and data scientists to understand data needs and represent key data insights visually. • Define and oversee Service Level Agreements for all data sets in your areas of ownership. • Establish and implement security models to ensure compliance with privacy requirements, addressing data quality and evolving governance processes. • Design, develop, and launch advanced data models and visualizations that serve various use cases across products. • Tackle complex data integration challenges using optimal Extract, Transform, Load (ETL) patterns and sourcing from both structured and unstructured data. • Manage existing production processes, optimizing complex code using advanced algorithmic techniques. • Streamline pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. • Influence product and cross-functional teams to identify data opportunities that drive significant impact. • Mentor your peers through constructive feedback to foster a collaborative environment.

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

Preferred Qualifications: • Master's or Ph.D. in a STEM field. • Proven track record of integrating AI tools to optimize workflows and drive measurable outcomes, like efficiency gains or quality improvements. • Experience implementing responsible, ethical AI practices, such as risk assessments and bias mitigation strategies. • Demonstrated commitment to AI skill development and staying updated with emerging technologies.

Public Compensation:

$177,000/year to $247,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We value diversity and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability status, or any other legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable law. Meta participates in the E-Verify program in specific locations as required by law. Meta may utilize artificial intelligence and machine learning technologies in the employment application process.

Meta is committed to providing reasonable accommodations for candidates with disabilities during our recruiting process. If you require assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.