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Senior Data Engineer

Date: Jun 21, 2022

Location: CHICAGO, IL, US, 60603-4013 LAKE FOREST, IL, US, 60045-5201 Virtual Worker, IL, US, N/A

Company: Grainger Businesses

 

About Grainger:

Grainger is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working®, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and inventory management, to save customers time and money.

We're looking for passionate people who can move our company forward. We have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way with Grainger today.


 

Position Details:

We are looking for a Senior Data Engineer for our Insights, Data Engineering & Analytics (IDEA) team. The team's primary mission is to enable analytics and reporting by centralizing and integrating high-quality, trusted corporate data in a performant and scalable cloud analytical platform.

You will help develop data pipelines and product. You will work with SMEs, architects, analysts, data scientists and others to build solutions that integrate data from many of our enterprise data sources. This role will be working closely with business analysts and other key stakeholders.

This role will be reporting to the Manager, eCommerce Engineering and can be based in either Lake Forest, IL or downtown Chicago or remotely.


 

You Will:

  • Enable analytics and reporting by centralizing and integrating high quality, large, complex data sets in a highly performant and scalable cloud analytical platform.
  • Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
  • Build required tools for optimal extraction, transformation and loading of data from various data sources.
  • Build frameworks, standards & product features to enable self-service analytics.
  • Partner with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues.


 

You Have:

  • 5+ years of experience with Modern Data Engineering projects and practices: designing, building, and deploying scalable data pipelines
  • 3+ years of experience designing building deploying cloud native solutions
  • 3+ years of experience with AWS, SQL, Python, Docker/Kubernetes, CI/CD, Git, familiarity with: Snowflake, DBT, Airflow
  • Developed POCs on large and complex data sets to meet business and technical requirements
  • Experience with advanced analytics and machine learning
  • Familiarity with BI tools such as Tableau, PowerBI
  • Bachelor's Degree in Computer Science, Engineering, Business (or Management), related disciplines or equivalent work experience.


 

Rewards and Benefits:

With benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice and flexibility to meet our team members' individual needs. Check out some of the rewards available to you at Grainger

  • Medical, dental, vision, and life insurance plans
  • Paid time off (PTO) and 6 company holidays per year
  • Automatic 6% 401(k) company contribution each pay period
  • Employee discounts, parental leave, 3:1 match on donations and tuition reimbursement
  • A comprehensive set of emotional, financial, physical and social wellbeing programs

 

DEI Statement

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.