Senior Data Engineer
LAKE FOREST, IL, US, 60045-5201
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...As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working® by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we’re dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results.
Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified™ company, we’re looking for passionate people to join our team as we continue leading the industry over our next 100 years.
Position Details:
Grainger is looking for a Data Engineer for our CE Design Custom Apps & Automation team. The Data Engineer will report to a CE Design Manager. The Custom Apps and Automation team's primary mission is to Utilize available and emerging technology solutions to reduce waste and enhance team member and customer experience. The Data Engineer will design and deploy automation solutions and custom applications as well as support, maintain, and govern a growing portfolio of tools while fostering strong partnerships across the business.
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 Customer Service 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
- Work with partners including data, design, product and executive teams and assisting them with data-related technical issues
You Have:
- 3+ years of hands-on experience with Modern Data Engineering projects and practices (Airflow, Kafka, Spark, and python)
- 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.
- Technology Experience Required: AWS, SQL, Python, Docker/Kubernetes, CI/CD, Github, Snowflake, dbt, Airflow
Rewards and Benefits:
With benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice and flexibility to meet our team members' individual needs. Check out some of the rewards available to you at Grainger
- Medical, dental, vision, and life insurance plans
- Paid time off (PTO) and 6 company holidays per year
- Automatic 6% 401(k) company contribution each pay period
- Employee discounts, parental leave, 3:1 match on donations and tuition reimbursement
- A comprehensive set of emotional, financial, physical and social wellbeing programs
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
We are committed to fostering an inclusive, accessible 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. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs AWS CI/CD CX Data pipelines dbt Docker Engineering Finance GitHub Industrial Kafka Kubernetes Microservices Pipelines Python Scala Snowflake Spark SQL Streaming Testing
Perks/benefits: 401(k) matching Career development Health care Insurance Medical leave Parental leave
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