Data Engineer II

W.W. Grainger, Inc.•Chicago, IL

42d•Hybrid

About The Position

We're hiring a Data Engineer II for the Supply Chain Optimization - Machine Learning Engineering team. The team's mission is to ensure the durability and scalability of machine learning and operations research models that drive impactful results across our supply chain. This role centers on designing and developing data pipelines and products that support advanced analytics. It involves close collaboration with machine learning engineers and data scientists to set up pipelines for model development and deployment, automate workflows, and maintain the data infrastructure behind key data products. Expect to work closely with subject matter experts, architects, analysts, and other stakeholders to integrate data from a wide range of enterprise sources. The position reports to the Senior Manager, Machine Learning Engineering. 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.

Requirements

Bachelor's Degree or equivalent experience in Engineering or Computer Science or Information Technology, or a related technical discipline required
1+ years of experience with Modern Data Engineering projects and practices required
1+ years of experience deploying cloud native solutions required
1+ years of experience with AWS, SQL, Python, Docker/Kubernetes, CI/CD, Git familiarity with: Snowflake, DBT, Airflow required

Nice To Haves

Experience with advanced analytics and machine learning
Familiarity with BI tools such as Tableau, PowerBI

Responsibilities

Enable analytics and reporting by centralizing and integrating high quality, large, complex data sets in a performant and scalable cloud 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 extraction, transformation and loading of data from multiple 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

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.

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