Data Engineer, Product Analytics

Meta; Hartford (CT); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Data Engineer for Product Analytics to design and own data architectures across Facebook, Instagram, Messenger, WhatsApp, and more. You will collaborate with software engineers, data scientists, and product managers to craft scalable data solutions that optimize growth, strategy, and user experiences for billions of users and hundreds of millions of businesses worldwide.

You will lead the development of sophisticated data models and visualizations, ensure data governance, and

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field or equivalent practical experience.
• 7+ years of experience working with data across roles such as data analyst/engineer/scientist.
• 7+ years of experience with SQL, ETL, data modeling, and programming languages (e.g., Python, C++, C#, Scala).

Responsibilities

• Conceptualize and own data architecture for large-scale projects with cost-benefit tradeoffs.
• Develop frameworks to improve data logging and triage data infrastructure issues.
• Collaborate with engineers, product managers, and data scientists to translate data needs into insights.
• Define and manage SLAs for data sets in ownership areas.
• Design security models aligning with privacy requirements and governance processes.
• Build data models and visualizations supporting multiple use cases across products.
• Resolve complex data integration challenges using ETL and diverse data sources.
• Own and optimize production data processes and code paths.
• Improve pipelines, dashboards, and tools to ease data artifact development.
• Influence cross-functional teams to identify data opportunities and impact.
• Mentor teammates with actionable feedback.

Skills

SQL

ETL

Data modeling

Programming (Python, C++, etc.)

Education

Bachelor's degree in CS or equivalent

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. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
2. Create and contribute to frameworks that improve the efficacy of logging 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 visually in a meaningful way
4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership
5. 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
6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
10. Influence product and cross-functional teams to identify data opportunities to drive impact
11. Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2. 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
3. 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:

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:

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

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and

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].