Data Engineer - I&A (remote) at US Foods #vacancy #remote

ARE YOU A CURRENT US FOODS EMPLOYEE? PLEASE APPLY DIRECTLY THROUGH OUR INTERNAL WORKDAY CAREER SITE.

Join Our Community of Food People!

This position is virtual/remote which means the work can be completed from anywhere in the United States except Hawaii or United States Territories.

We are unable to provide sponsorship for employment visa status (e.g., OPT, F-1, H-1B, EAD or OPT-EAD visa status). Candidates who require sponsorship and are not eligible to work in the United States are not eligible to apply.

The Data Engineer – Insights & Analytics is responsible for the development and implementation of data pipeline solutions to support the organizations reporting, analytics, and other data needs. The developer will work closely with stakeholders across functional areas to deliver well-structured data in a reliable and timely way.

Flexible Work Policy: The work for the Data Engineer position is completed 100% remotely anywhere in the United States except Hawaii or United States Territories. This position may have the potential to travel up to 20% dependent on business needs.

(We are unable to provide sponsorship for employment visa status (e.g., OPT, F-1, H-1B, EAD or OPT-EAD visa status). Candidates who require sponsorship and are not eligible to work in the United States are not eligible to apply.)

RESPONSIBILITIES

Design and build large scale datasets for a wide range of consumer needs

Build, test, and implement highly efficient data pipelines using a variety of techniques

Ensure consistent use of standard data structures

Analyze new data sources to understand quality, availability, and content

Write technical design documentation

Create and executes unit tests

Supports QA team during testing

Other duties as assigned by manager

RELATIONSHIPS

Internal: Insights & Analytics Leaders and Associates, Cross-Functional members of US Foods

External: None

WORK ENVIRONMENT

Remote: This role is fully remote, and the associate is expected to perform assigned responsibilities from a home-based environment.

MINIMUM QUALIFICATIONS

Must possess a minimum of 5 years of experience in data engineering or other relevant area

Must possess Proficiency in one or more of the following:

SQL

Snowflake or other cloud data platforms

Python

AWS (especially Lambda, S3)

Linux / bash / shell scripting

And Familiarity with: Use of CI/CD tools (Chef, Jenkins, Bamboo, Git/Bitbucket); Supporting self-service reporting and analytics; Working with structured and semi-structured data

Proven ability to model data for reporting and analytics needs

Proven ability to analyze and understand existing processes and code

Works and communicates effectively with all levels of management

Excellent written, verbal, and interpersonal skills

Must work well within team-oriented environments

Up to 5% of travel may be needed for business reasons

EDUCATION

Bachelor’s degree in Computer Science or related field

PREFERRED QUALIFICATIONS

Preferred experience with Airflow or Dagster as orchestration layer; API development and integration experience; Tableau orSigma Computing for BI / reporting; dbt

The following information is provided in accordance with certain state and local laws. Compensation depends on experience, geographic locations, and other factors permitted by law. In Colorado, the expected compensation for this role is between $62,300 and $83,100. In New York, the expected compensation for this role is between $73,500 and $98,000. In California, the expected compensation for this role is between $69,900 and $93,100. In Washington, the expected compensation for this role is between $69,900 and $93,100. This role is also eligible for annual incentive plan bonus. Benefits for this role include health insurance, pre-tax spending accounts, retirement benefits, paid time off, short-term and long-term disability, employee stock purchase plan, and life insurance. To review available benefits, please click here: .

#LI-SK1

#remote

EOE* Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Protected Veteran/Disability Status *

Puede ver este sitio de empleo y aplicacin en espaol utilizando la configuracin de su navegador o telfono mvil. Haga clic a continuacin para obtener ms informacin.

Microsoft Edge (

Google Chrome

Safari

iPhone

Androide (

US Foods is one of Americas great food companies and a leading foodservice distributor, partnering with approximately 300,000 restaurants and foodservice operators to help their businesses succeed. With 28,000 employees and more than 70 locations, US Foods provides its customers with a broad and innovative food offering and a comprehensive suite of e-commerce, technology and business solutions. US Foods is headquartered in Rosemont, Ill., and generates more than $28 billion in annual revenue. Visit to learn more.

US Foods may collect personal information from you in connection with the application process. US Foods complies with the California Privacy Rights Act of 2020, and its policy may be found here ( .

US Foods, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other basis prohibited by applicable law.

EEO is the Law poster is available here ( .

EEO is the Law poster supplement is available here ( .

Pay Transparency policy statement is available here ( .

US Foods is committed to working with and providing reasonable accommodation to individuals with disabilities. If reasonable accommodation is needed to participate in the interview process or to perform essential job functions, please contact our US Foods Application Accommodation Line at . You will be prompted to leave a message. Please state the specifics of the assistance needed and your contact information. A member of our HR department will return your call within two business days.

Git CI/CD API Tableau Python Amazon Web Services (AWS) Data Engineering Linux Chef Infra snowflake-cloud-data-platform SQL bamboo Airflow dagster Jenkins DBT Bitbucket

Залишити відповідь