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Data Engineer, Product Analytics

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Meta

10d ago

  • Job
    Full-time
    Junior Level
  • Data
    IT & Cybersecurity
  • New York

AI generated summary

  • You need a Bachelor's in a technical field, 2+ years of data experience, proficiency in SQL, ETL, data modeling, and a programming language. A Master's or Ph.D. in STEM is preferred.
  • You will manage data warehouse plans, implement logging, collaborate on data needs, ensure data quality, design new models, optimize processes, and manage Service Level Agreements for data sets.

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 for a Data Engineer in Product Analytics at Meta?

The primary responsibility involves managing and executing data warehouse plans for products to solve well-scoped problems, collaborating with various teams to understand data needs, and building scalable data solutions.

What qualifications are needed for this job?

A Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field is required, along with 2+ years of experience in data-related roles and proficiency in SQL, ETL, data modeling, and at least one programming language such as Python, C++, C#, or Scala.

What kind of projects will I work on as a Data Engineer?

You will work on optimizing data solutions to enhance growth, strategy, and user experience for Meta's products, including designing new data models, visualizations, and ensuring data quality and security.

Are there opportunities for career growth in this role?

Yes, Meta is committed to skill development and offers career growth opportunities within the data engineering community and beyond.

Will I need to work with other teams?

Yes, you will collaborate closely with software engineering, data science, and product management teams to meet data needs and craft impactful data solutions.

What tools and technologies will I be using in this role?

You will be using SQL for data querying, ETL tools for data management, and various programming languages, as well as development toolkits for building data models and visualizations.

Is there an opportunity for mentorship in this position?

Yes, you will have the opportunity to mentor others around efficient queries and data practices as you design and implement data processes.

What is the salary range for this position?

The salary range for this position is between $114,000 and $171,000 per year, plus bonus, equity, and benefits.

Will I need to uphold any data security standards?

Yes, ensuring data security, quality, and compliance while managing allocated areas of ownership is a crucial responsibility in this role.

Is a higher degree preferred for this role?

Yes, a Master's or Ph.D. degree in a STEM field is preferred, although not required.

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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.