Logo of Huzzle

Home

Matches

Explore

Manage

Data Engineer, Product Analytics

image

Meta

9d ago

  • Job
    Full-time
    Junior Level
  • Data
    IT & Cybersecurity
  • Bellevue

AI generated summary

  • You need a Bachelor's in a technical field, 2+ years of data work experience, proficiency in SQL, ETL, data modeling, and a programming language. A Master's or Ph.D. is preferred.
  • You will manage data warehouse plans, identify data needs, collaborate with teams, ensure data quality and compliance, build data models, optimize processes, and define Service Level Agreements.

Requirements

  • Minimum Qualifications:
  • * 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.)
  • Preferred Qualifications:
  • * 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 job title for this role at Meta?

The job title is Data Engineer, Product Analytics.

What type of products will I be working on as a Data Engineer?

You will be working on people-facing and business-facing products across Meta's applications, including Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads.

What are the primary responsibilities of a Data Engineer in Product Analytics?

Responsibilities include managing and executing data warehouse plans, identifying data needed for business problems, collaborating with engineers and product managers, designing and building data models and visualizations, and ensuring data quality and security.

What are the minimum qualifications required for this position?

The minimum qualifications include a Bachelor's degree in Computer Science or a relevant technical field, 2+ years of experience working with data, and experience with SQL, ETL, data modeling, and at least one programming language such as Python or C++.

Are there any preferred qualifications for this role?

Yes, a Master's or Ph.D. degree in a STEM field is preferred.

What types of teams will I collaborate with in this role?

You will collaborate with software engineering, data science, and product management teams.

What is the salary range for the Data Engineer, Product Analytics position?

The salary range is $114,000/year to $171,000/year, plus bonuses, equity, and benefits.

Is there any emphasis on data security and privacy in this role?

Yes, ensuring data security, privacy, compliance, and quality is a strong focus of this role.

Does Meta support reasonable accommodations during the recruiting process?

Yes, Meta is committed to providing reasonable accommodations for candidates with disabilities during the recruiting process.

Will I get an opportunity for skill development and career growth as a Data Engineer at Meta?

Yes, you will be part of a world-class data engineering community dedicated to skill development and career growth.

image

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.