Data Engineer,Product Analytics Job Annapolis area,Maryland USA,IT/Tech

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, Whats App, 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.

Required Skills

Data Engineer, Product Analytics 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 visually 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

7+ 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

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

Preferred Qualifications

Master’s or Ph.D. degree in a STEM field

Public Compensation

$173,000/year to $242,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affidavit Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E‑Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

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