Staff Data Engineer

MxD; Chicago (IL); Hybrid; USD 120,000 - 201,000; Full time

Job summary

A leading company seeks a Staff Data Engineer for its Pricing team in Chicago. The role focuses on creating technology to support pricing strategies by designing data pipelines and data lake architecture. Ideal candidates have extensive experience in data engineering and cloud solutions.

Benefits

Medical, dental, vision, and life insurance

401(k) Retirement Savings Plan with 6% company contribution

Tuition reimbursement and student loan refinancing

18 paid time off (PTO) days annually

6 company holidays per year

Qualifications

• 10 years experience in Modern Data Engineering projects.
• 5+ years in cloud native solutions.
• Experience with large complex data sets.

Responsibilities

• Implement data pipelines to ingest, cleanse, and enrich data.
• Design data lake architecture and publication strategy.
• Mentor junior team members.

Skills

Data Engineering

AWS

Python

Data Pipeline Development

Advanced Analytics

Tools

Snowflake

DBT

Docker

Kubernetes

CI/CD

Git

Tableau

PowerBI

Job description

Work Location Type: Hybrid

About Grainger:

W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenances, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit www.grainger.com.

Compensation

The anticipated base pay compensation range for this position is $120,400.00 to $200,700.00.

Rewards and Benefits:

With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:

• Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
• 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
• Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
• Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

For additional information and details regarding Grainger's benefits, please click on the link below:

https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire

The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.

The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above.

Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.

Position Details:
We are looking for a Staff Data Engineer for our Pricing team. The team creates the technology that supports Grainger's pricing strategy. Providing the right product at the right price is core to Grainger's growth objectives, both in terms of driving direct growth the pricing leverage, and in terms of supporting other growth drivers like marketing. The Pricing team is responsible for building and maintaining the applications and data that support deriving the right price for each product.

Our vision: Pricing in the MRO (maintenance, repair, & operations) industry is extraordinarily complex, because of the many factors that must be considered. Setting a market relevant price requires clear understanding of product, customer, and competitor dynamics. Evolving the technology to support deriving the market relevant price requires constant iteration and collaboration with our business partners. We are a highly visible and important strategic team in our pricing strategy roadmap.

You will report to the Manager, Product Engineering and will be based in Merchandise Mart office.

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
  

• Work closely with architects to design data lake architecture, data pipelines, and data publication strategy
  

• Implement data pipelines to ingest, cleanse and enrich data for analytics
  

• Design and implement secure, performant data models to meet the scalability and performance needs of data product
  

• Work with data scientists to enable data discovery and its curation for analytical purposes
  

• Build frameworks, standards & product features to enable self-service analytics
  

• Promote effective team practices, shape team culture, and engage in active mentoring.
  

• Partner with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
  

• Mentor junior team members
  

You Have:

• 10 years of experience with Modern Data Engineering projects and practices: designing, building, and deploying scalable data pipelines
  

• 5 + years of experience in designing building deploying cloud native solutions
  

• At least 3 years of experience with AWS, Snowflake, DBT, Python, Docker/Kubernetes, CI/CD, Git, familiarity with: Airflow
  

• Experience in working closely with architects to design and develop data lake, data pipelines, and data product publication strategy. Familiarity with: Data mesh architecture
  

• Developed data products/systems using large and complex data sets to meet business and technical requirements
  

• Worked as a technical lead on the team
  

• Mentored junior team members as needed through design and development
  

• Experience partnering with internal departments to establish requirements
  

• Experience with advanced analytics and machine learning
  

• Experience implementing data management life cycle, using data quality functions like standardization, transformation, rationalization, linking and matching
  

• Familiarity with BI tools such as Tableau, PowerBI
  

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.

We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.