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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 organization’s 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 or Sigma 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: https://www.usfoods.com/careers/benefits.html.

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