Data Engineer III
LAKE FOREST, IL, US, 60045-5202
Full Time Senior-level / Expert USD 101K - 168K
Grainger
Grainger is your premier industrial supplies and equipment provider with over one million products to keep you up and running. Use Grainger.com for fast and easy ordering with next-day delivery available. Rely on our product experts for 24/7...
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 $101,300.00 to $168,900.00.
This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.
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:
Grainger is looking for a Data Engineer for our Marketing Technology team. The Data Engineer will report to a Senior Manager of Marketing Technology. The Marketing Technology team's primary mission is to integrate, maintain, and optimize a broad range of technology systems & tools used by the Marketing Organization to execute best-in-class marketing programs as well as the data pipelines supporting them. This position will manage the technical development, execution, and maintenance of outbound data pipelines and feeds by centralizing and integrating high-quality, trusted corporate data in a performant and scalable cloud platform and by leveraging the integrated systems and APIs to automate data delivery. The Data Engineer will design and develop data pipelines and products in a modern-day, cloud environment. You will work with SMEs across the Marketing Organization as well as architects, analysts, data scientists and others to build solutions that integrate data from many of our enterprise data sources.
This is a Hybrid position that requires onsite work (Lakeforest) 3 days per week.
You will:
- Pioneer a new way of thinking about Data Pipelines, Orchestration and Configuration at Grainger.
- Develop our next-generation micro-services to enhance and mature a data-driven culture.
- Help develop the Analytics and Data Kubernetes products in AWS.
- Experience building data products for Data Science use cases.
- Assemble complex sets of data that meet requirements.
- Identify and design internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
- Build required tools for extraction, transformation and loading of data from data sources.
- Build product features to allow self-service analytics.
- Work with partners including data, design, product and executive teams and assisting them with data-related technical issues.
You have:
- 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 data sources.
- Experience partnering with internal departments (Supply Chain, Marketing, Finance, and HR) to establish requirements.
- Develop junior team members through modern cloud-based development.
- Translate requirements into technical requirements and produce required source-to-target data mappings.
- Bring complex concepts into our organization and mentor others.
- Experience with advanced analytics and machine learning.
- Technology Experience Required: AWS, SQL, Python, Docker/Kubernetes, CI/CD, Git, Snowflake, dbt, Airflow.
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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.
Tags: Airflow APIs AWS CI/CD Data pipelines dbt Docker Engineering Finance Git Kubernetes Machine Learning Microservices Pipelines Python Scala Snowflake SQL Streaming Testing
Perks/benefits: Career development Health care Insurance Medical leave Startup environment
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