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Data Engineer, Product Analytics

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Meta

10d ago

  • Job
    Full-time
    Junior Level
  • Software Engineering
  • Seattle

AI generated summary

  • You need a Bachelor's in a technical field, 2+ years in data-related roles, and experience with SQL, ETL, data modeling, and a programming language. A Master's or Ph.D. in STEM is a plus.
  • You will manage data warehouse plans, implement logging, collaborate across teams, ensure data quality and privacy, design data models, optimize existing processes, and define data service agreements.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
  • 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+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)
  • Master's or Ph.D degree in a STEM field

Responsibilities

  • Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
  • 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
  • Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
  • Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
  • Design, build and launch new data models and visualizations in production, leveraging common development toolkits
  • Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
  • Support existing processes running in production and implement optimized solutions with limited guidance
  • Define and manage Service Level Agreements for data sets in allocated areas of ownership

FAQs

What is the primary responsibility of a Data Engineer in Product Analytics at Meta?

The primary responsibility includes managing and executing data warehouse plans, collaborating with cross-functional teams to understand data needs, and building optimal data artifacts to address key business problems.

What qualifications are required for this Data Engineer position?

A bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, along with 2+ years of experience in roles involving data (such as data analyst, data scientist, or data engineer) and proficiency with SQL, ETL, data modeling, and at least one programming language.

Are there preferred qualifications for this role?

Yes, preferred qualifications include a master's or Ph.D. degree in a STEM field.

What types of projects will a Data Engineer work on?

A Data Engineer will work on projects involving designing and building scalable data solutions, optimizing growth and user experience, and addressing complex analytical problems across Meta's various applications.

What programming languages are relevant for this position?

Relevant programming languages include Python, C++, C#, Scala, or others.

What kind of work environment can one expect at Meta?

Meta promotes a collaborative work environment where Data Engineers work alongside software engineers, data scientists, and product managers to solve data challenges at a large scale.

How does Meta ensure data security and compliance in this role?

Data Engineers are responsible for building data expertise and leveraging data controls to ensure privacy, security, compliance, and data quality for their allocated areas of ownership.

What can I expect regarding compensation for this role?

Compensation ranges from $114,000/year to $171,000/year, in addition to bonuses, equity, and benefits. Individual compensation is determined by skills, qualifications, experience, and location.

Does Meta provide support for career growth and development for Data Engineers?

Yes, Meta is dedicated to skill development and career growth within its world-class data engineering community.

Are accommodations available for candidates with disabilities during the recruiting process?

Yes, Meta is committed to providing reasonable accommodations for candidates with disabilities. Applicants can request assistance by contacting accommodations-ext@fb.com.

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Meta

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.