Data Engineer III

About the role

The Data Engineer III will join the Machine Learning Engineering (MLE) team supporting Supply Chain and Inventory Analytics. This role reports to a Senior Manager of Machine Learning Engineering and collaborates closely with Inventory Reporting & Analysis (R&A).

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 assist them with data-related technical issues.

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.

Qualifications

• Experience with AWS, SQL, Python, Docker/Kubernetes, CI/CD, Git, Snowflake, dbt, Airflow.

Skills

• Experience with Microservices
• Experience with Feature Stores
• Experience with Advanced Analytics and Machine Learning

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.

Pay

The anticipated base pay compensation range for this position is $104,500.00 – $174,200.00. This role is eligible for an incentive target of up to 10 % or $ , based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change.

Schedule

This position is Hybrid requiring 2 days per week onsite at the Chicago or Lake Forest, IL offices.