Data Engineer, Innovation

Beyond Meat · El Segundo, CA

Engineering
Environment
Food & Agriculture
Posted 2 months ago

Excel
Google Cloud Platform
S3
EC2
Redshift
AWS
BigQuery
Kubernetes
Security
Data Science
Python
Docker
SQL
Machine Learning
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COMPANY DESCRIPTION
 
At Beyond Meat, we started with simple questions. Why do you need an animal to create meat? Why can’t you build meat directly from plants? Thus, we make plant-based meats that allow families to eat more, not less, of the traditional dishes they love while feeling great about the health, sustainability, and animal welfare benefits of plant protein. Our goal is to bring exciting change to the plate—and Beyond.
 
OVERVIEW
 
The Innovation team is seeking an innovative and hands-on Data Engineer who can partner with scientists and engineers on the team to develop infrastructure and data pipelines for our machine learning solutions. The Data Engineer will act as the subject matter expert for data management, systems and feature engineering. You will be responsible for developing accurate, consistent, and architecturally sound data sets across research and cross-functional units, as well as managing the execution and delivery of databases across projects to meet the Innovation team’s goals.
 

RESPONSIBILITIES

    • Design, implement, and support our data infrastructure and systems development
    • Utilize and manage AWS resources such as S3, EC2, EMR, Redshift, Glue, etc. 
    • Interface with various functional teams to perform ETL using a wide variety of data sources and leveraging SQL and AWS big data technologies
    • Partner closely with domain experts (food science, analytical chemistry, protein bioinformatics, etc.) and machine learning engineers to adopt best practices in data management and identify and develop areas where data science can bring disruptive value
    • Keep up to date with the latest developments in data management and AWS offerings to support the Innovation team
    • Support the implementation of new data systems and and software applications into existing systems and infrastructure
    • Support the development of data systems from complex and/or multiple inputs, including to provide processing solutions for raw data where needed
    • Develop and optimize code
    • Maintain and upkeep databases, including performance validation and optimization
    • Maintain security on data, data infrastructure and systems
    • Preserve all forms of intellectual and material property, support IP development, and ensure confidentiality and security of information

QUALIFICATIONS

    • Masters in Computer Science, Math, Statistics, or other quantitative field
    • 3+ years experience as a Data Engineer or similar role
    • Extensive experience collecting requirements, describing data modeling decisions and developing data engineering strategies
    • Extensive experience with data warehousing, data modeling, and building/managing ETL pipelines
    • Strong knowledge of the theoretical principles underlying data management and data storage
    • Must have experience with cloud computing platforms (AWS or GCP)
    • Experience with big data technologies such as Spark, Hive, Redshift or BigQuery
    • Designing/implementing cloud architectures for machine learning is a plus
    • Experience in SQL, Python and/or R, Bash, or other scripting language
    • Using application APIs to source and model data
    • Experience generating value and insights from datasets 
    • Familiarity with statistical models and commonly used data mining approaches
    • Working knowledge of containerization/virtualization of applications (Docker, Kubernetes)
    • Experience with version control and source control methodologies (Git, Mercurial)
    • Ability to work collaboratively with various teams across the organization
    • Can manage multiple projects and priorities to support shifting team needs
    • Ability to thrive in independent work with minimal oversight
    • Excellent oral and written communication skills; fluent in both written and spoken English

WORK ENVIRONMENT

    • Office environments with some travel (5%)
Beyond Meat is an equal employment opportunity employer. Candidates are considered for employment without regard to race, creed, color, national origin, age, sex, religion, ancestry, veteran status, marital status, gender identify, sexual orientation, national origin, liability for military service, or any other characteristic protected by applicable federal, state, or local law. If you are interested in learning the status of your application, please note you will be contacted directly by the appropriate human resources contact person if you are selected for further consideration. Beyond Meat reserves the right to defer or close a vacancy at any time.
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