Data Engineer III
About The Position
Grainger is looking for a Data Engineer for our Data and Analytics team. The Data Engineer will report to a Manager of Data Engineering. The Data and Analytics team's primary mission is to develop analytics by centralizing and integrating high-quality, trusted corporate data in a performant and scalable cloud platform. The Data Engineer will design and develop data pipelines and products in a modern-day, cloud environment. You will work with SMEs, architects, analysts, data scientists and others to build solutions that integrate data from many of our enterprise data sources. This is a Hybrid position requiring 50% of time onsite at either the Chicago, IL or Lake Forest, IL corporate offices.
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.
- Design and build scalable data models in Snowflake to support analytics, reporting, and data science use cases
- Develop and manage end-to-end data pipelines using Apache Airflow for orchestration, scheduling, and monitoring workflows
- Write optimized, maintainable SQL for large-scale data processing, transformation, and validation
- 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
- 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)
- 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
- free access to financial counseling, education, and tools.
- Maternity support programs
- nursing benefits
- up to 14 weeks paid leave for birth parents
- up to 4 weeks paid leave for non-birth parents.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
