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Data Engineer

Min Experience

3 years

Location

green bay, wi, us

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Data Engineer Location: GREEN BAY, WI, US, 54301-5160 Date: Aug 27, 2025 Work Location Type: Remote Imperial Supplies, a Grainger Company, is a national distributor of quality maintenance products. Serving the fleet maintenance industry since 1958, Imperial has formed lasting relationships with customers by tailoring our services to meet their changing needs. Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a Great Place to Work-Certified™ company, we're looking for passionate people to join our team as we continue leading the industry. We are seeking a Data Engineer to join our Information Technology team at Imperial Supplies. This role is responsible for developing and maintaining the company's data architecture, ensuring analysts have the tools and information they need to drive effective business decisions. The Data Engineer partners with solution and cloud architects, business stakeholders, and external service providers to ensure analytics capabilities align with our data architecture and business needs. Who are we? Imperial Supplies, a Grainger company, is a national distributor of quality maintenance products. Serving the fleet maintenance industry since 1958, Imperial has formed lasting relationships with customers by tailoring our services to meet their changing needs. At Imperial, people come first. Here's what we offer: Competitive salary Hybrid / Remote schedule Monday – Friday work schedule, no nights, or weekends Immediate medical, dental, vision; 18 days paid vacation, 6 paid holidays and 6% of annual earnings contributed to your retirement, immediately vested! What You'll Do Recommend and implement data architecture and accessibility strategies to ensure scalability, reliability, and value creation. Collaborate with stakeholders to align enterprise and data architectures, maximizing the value of organizational data. Create and maintain logical data models and physical database designs for analytics ecosystems. Design and develop data warehouses and implement ETL (Extract, Transform, Load) processes. Build and maintain business intelligence (BI) solutions to support enterprise-wide decision-making. Establish and execute system performance assessments, recommending infrastructure improvements as needed. Develop standards, process flows, and tools for mapping data sources, documenting interfaces, and tracking data movement. Define governance practices and metadata standards to ensure accuracy, consistency, and reusability of enterprise data. Support integration of machine learning and big data technologies into infrastructure to drive innovation. Minimum Qualifications Bachelor's degree in Computer Science, Management Information Systems, or a related field. 3+ years of experience in data architecture or 5+ years in equivalent data-related roles. Proficiency with ETL tools and frameworks. Strong SQL skills; experience with R and Python for data transformation and analysis. Experience with relational databases such as MySQL and PostgreSQL. Knowledge of BI tools such as Power BI, Tableau, or equivalent. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications Bachelor's in Software/Computer Engineering, Applied Math, Physics, Statistics, or related field. Certifications such as Associate Big Data Engineer (ABDE), AWS Certified Data Analytics, Google Professional Data Engineer, Microsoft Azure Data Engineer Associate, or equivalent. 5+ years as a data engineer with expertise in MS SQL Server, Snowflake, AWS RedShift, and Google BigQuery. Experience integrating machine learning toolkits into data infrastructure. Familiarity with big data technologies to support enterprise growth. Strong understanding of data modeling, data taxonomy, and data governance practices.

About the company

Imperial Supplies, a Grainger Company, is a national distributor of quality maintenance products. Serving the fleet maintenance industry since 1958, Imperial has formed lasting relationships with customers by tailoring our services to meet their changing needs.

Skills

sql
r
python
etl
mysql
postgresql
power bi
tableau