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Data Engineer

Grainger • Full-time • Remote (Green Bay, Wisconsin, United States) • 1m ago

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.

Why Join Us

This is an exciting opportunity to shape the way data is managed, accessed, and leveraged across the company. You’ll work with innovative technologies, collaborate with cross-functional teams, and help drive critical business decisions through impactful data solutions.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.

We are committed to fostering an inclusive, accessible work 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, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.