Data Engineer, Product Analytics

Meta; Redmond (WA); On-site; USD 114,000 - 173,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Data Engineer to shape the data behind our family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). You will design and build scalable data solutions that serve billions of users and hundreds of millions of businesses, collaborating with software engineers, data scientists, and product managers.

You will manage data warehouse plans, identify data needs, implement logging, and build data models and ETL pipelines in production while upholding

Qualifications

• 2+ years of experience with data in roles like data analyst, data scientist or data engineer.
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field or equivalent practical experience.
• 2+ years of experience with SQL, ETL, data modeling, and at least one programming language.

Responsibilities

• Manage and execute data warehouse plans for a product or group of products to solve well-scoped problems.
• Identify data needed for business problems and implement logging to ensure data availability.
• Collaborate with engineers, product managers and data scientists to understand data needs and present insights.
• Design, build and launch new data models and visualizations in production.
• Independently design, build and launch new data extraction, transformation and loading processes in production.

Skills

SQL

ETL

Data modeling

Python

Data analysis

Education

Bachelor's degree in Computer Science/Engineering or related field

Job description

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.

Required Skills:

Data Engineer, Product Analytics Responsibilities:

1. Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems

2. Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve

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

4. Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership

5. Design, build and launch new data models and visualizations in production, leveraging common development toolkits

6. Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries

7. Support existing processes running in production and implement optimized solutions with limited guidance

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

Minimum Qualifications:

Minimum Qualifications:

1. 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

2. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

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:

Preferred Qualifications:

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

2. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

3. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

4. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Public Compensation:

$114,000/year to $173,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative 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 [e-mail].