Data Engineer III

 As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working® by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we’re dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results.

Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified™ company, we’re looking for passionate people to join our team as we continue leading the industry over our next 100 years.

 Compensation

The anticipated base pay compensation range for this position is $101,300.00  to $168,900.00. 

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

The Data Engineer will report to the Manager of Analytic Enablement and play a pivotal role within the Data and Analytics team. The OST Analytic Enablement team's primary mission is to enable high-quality analytics and reporting by centralizing and integrating trusted, high-quality data within a performant and scalable cloud platform.

In this role, the Data Engineer will design and develop data pipelines and products in a modern cloud environment. Collaborating closely with subject matter experts, architects, analysts, data scientists, and other stakeholders, you will create solutions that centralize data into a unified repository, providing a holistic view of our operations.

Key responsibilities include partnering with technical leaders to define architecture, develop automation processes, and implement modern data-serving patterns. This role will be required to be in the Lake Forest, IL office 2 days per week.

You Will

• Build required tools for extraction, transformation and loading of data from data sources
• Build product features to allow self-service analytics.
• Develop and manage data workflow automation tooling like Airflow, and instrument modern data ingestion processes ensuring robust monitoring to deliver high quality data in a timely manner
• Develop and instrument data quality monitoring including automated check, alerting, and data dependency instrumentation.
• Assemble complex sets of data that meet requirements providing by non-technical partners
•  Identify and design internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Work with partners including data, design, product and executive teams and assisting them with data-related technical issues
• Bring complex concepts into our organization and mentor others.

You Have

• 3 + years of related experience
• Experience Required: AWS, SQL, Python, Docker/Kubernetes, CI/CD, Git, Snowflake, dbt, Airflow
• Successful track record in developing and automating large-scale, high-performance data engineering systems (batch and streaming).
• Experience with both scripting and system programming languages (Python and Scala).
• Experience with microservices including defining and testing APIs Experience architecting, developing, and deploying both offline and online feature stores
• Experience leading data integration efforts of diverse formats of data
• Experience partnering with internal departments (Supply Chain, Marketing, Finance, and HR) to establish requirements.

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.

We are committed to fostering an inclusive, accessible 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.  With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.

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