Meta AR/VR Job | Data Engineer, Analytics | Quest

Job(岗位): Data Engineer, Analytics | Quest

Type(岗位类型): Data Engineering

Citys(岗位城市): Washington, DC

Date(发布日期): 2023-6-24


Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, WhatsApp, and Novi 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.

Instructions on how to apply, click “Apply to Job” online on this web page.


Requires a Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and two years of work experience in the job offered or in a computer-related occupation. Requires two years of experience in the following:

Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale

Programming in Python, Perl, Java, or PHP

Internet technologies: HTML, CSS, or JavaScript

Writing SQL statements

Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies

Data warehousing architecture and plans

Informatica, Talend, Pentaho, dimensional data modeling, or schema design

MapReduce or MPP system

Hadoop, HBase, or Hive


Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision-making

Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains

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

Define and manage SLA for all data sets in allocated areas of ownership

Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve

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

Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources

Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Influence product and cross-functional teams to identify data opportunities to drive impact

Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors

Exercise judgment within defined procedures and practices to determine appropriate action

In connection with these duties, may apply knowledge of the following: Features, design, and use-case scenarios across a big data ecosystem, Custom ETL design, implementation, and maintenance, Object-oriented programming languages, Schema design and dimensional data modeling, Writing SQL statements, Analyzing data to identify deliverables, gaps and inconsistencies, Managing and communicating data warehouse plans to internal clients, MapReduce or MPP system, and Python

$190,120.00/year to $224,000.00/year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: