Data Engineer III

Grainger Businesses•Chicago, IL

1d•$110,500 - $184,100•Hybrid

About The Position

We are looking for a Senior 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. 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.

Requirements

Bachelor's Degree or equivalent experience required
3+ years hands-on experience with Modern Data Engineering projects and practices (Airflow, Kafka, Spark, and python) required
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

Responsibilities

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

Benefits

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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