Senior Data Engineer

Schupan & Sons; Kalamazoo, Wixom, Wyoming, Elkhart (MI, MI, MI, IN); On-site; USD 111,000 - 167,000; Full time

Benefits offered by this job

Health benefits

401(k) with match

Paid time off

Tuition reimbursement

HSA with company contributions

Job summary

Schupan & Sons is seeking a Senior Data Engineer in Kalamazoo, MI, to design, build, and maintain data pipelines and models on Databricks. You will connect our systems, leverage AI tools like Claude and Replit, and work directly with trading, recycling, and operations teams to deliver practical data solutions.

You will implement data quality controls, drive integration standards, and translate business needs into technical requirements while collaborating with leadership and technical colleagues.

Qualifications

• Bachelor’s degree in computer science, information systems, data engineering, applied mathematics, or a related field (preferred)
• Minimum of 5 years of experience as a Data Engineer, API Developer, or similar role
• Hands-on experience building and operating data pipelines in Databricks (Spark, SQL, Delta Lake)
• Strong SQL skills, including T-SQL and Microsoft SQL Server
• Intermediate or expert proficiency in Python
• Experience designing and consuming APIs (REST; GraphQL a plus) and working with integration platforms
• Demonstrated, hands-on use of Claude and Replit, or comparable AI coding and app-building tools
• Experience integrating cloud services with on-premises systems; Azure Data Factory and SSIS experience a plus
• A track record of teaching yourself new tools and putting them to work quickly

Responsibilities

• Data Platform: Design, build, and maintain pipelines and data models in Databricks. Monitor performance, reliability, and cost.
• Systems Integration: Connect operational systems to Databricks and to each other via APIs; monitor and improve integrations.
• Build with AI: Use Claude and Replit to build tools and internal apps.
• Solve Business Problems: Collaborate with trading, recycling, and operations teams to deliver data solutions.
• Data Quality: Implement validation and monitoring across sources.

Skills

Databricks

SQL

Python

APIs

AI Tools

Azure

Claude

Replit

Education

Bachelor's degree in CS/IS/Data Engineering

Tools

Databricks

SQL Server

REST/GraphQL

Azure Data Factory

SSIS

Claude

Replit

Job description

Job Details: Job Location: Miller - Kalamazoo, MI, Salary Range: $111000.00 - $167000.00Salary/year, Senior Data Engineer

Standard Business Hours | Kalamazoo, MI | Full-Time | $111K–$167K/year

ABOUT SCHUPAN

We have been building sustainable material solutions since 1968. At Schupan, you will find a people-first culture, opportunities to grow, and competitive pay — all while being part of a team working toward a more resourceful future.

OUR CORE VALUES

Integrity | Compassion | Empowerment | Sustainability

WHAT YOU WILL ACHIEVE

The Senior Data Engineer builds the data foundation that Schupan runs on. Your work shows up fast: you’ll be part of a small team at a roughly 600-person company, with no layer of committees between what you build and the people who use it, so you’ll see your pipelines and integrations change how our trading, recycling, and operations teams make decisions. You’ll build with modern tools — we run on Databricks and are rolling out AI tools, including Claude, across the company, and you’ll be expected to use them in your own work and help the business put them to use, not wait for permission. Our data describes trucks, yards, loads, and tons of metal moving through the economy, so the problems are concrete and solving them has a visible effect on the business. We’re setting our integration and data standards now, so you’ll help decide how they’re built rather than maintain someone else’s decisions. And as a multi-generational family business, Schupan makes decisions on a long horizon and invests in the people who build with us.

HOW YOU WILL DO IT

• Data Platform: Design, build, and maintain pipelines and data models in Databricks, our primary data platform. Monitor their performance, reliability, and cost.


• Systems Integration: Connect our operational systems, including SQL Server–based systems of record, to Databricks and to each other through APIs and integration tools. Monitor, troubleshoot, and improve existing integrations.


• Build with AI: Use Claude and Replit to build and ship tools, automations, and internal apps quickly, and help colleagues across the business do the same.


• Solve Business Problems: Work directly with our trading, recycling, and operations teams. Go see the work, define the real question, and deliver data solutions people use to make decisions.


• Data Quality: Implement validation and monitoring so data stays accurate, consistent, and trusted across relational, column-oriented, and unstructured sources.


• Security Compliance: Follow security practices and comply with regulatory standards and company policies, including access and permissions standards.


• Communication: Translate business needs into technical requirements, and explain technical choices clearly to senior leadership and non-technical colleagues.


• Interact in person with coworkers


• Perform other duties as assigned

WHAT WE NEED FROM YOU

Basic requirements:

• Bachelor’s degree in computer science, information systems, data engineering, applied mathematics, or a similar field (preferred)


• Minimum of 5 years of experience as a Data Engineer, API Developer, or similar role


• Hands‑on experience building and operating data pipelines in Databricks (Spark, SQL, Delta Lake)


• Strong SQL skills, including T‑SQL and Microsoft SQL Server


• Intermediate or expert proficiency in Python


• Experience designing and consuming APIs (REST; GraphQL a plus) and working with integration platforms


• Demonstrated, hands‑on use of Claude and Replit, or comparable AI coding and app‑building tools, in your own work. Be ready to show us something you built.


• Experience integrating cloud services with on‑premises systems; Azure Data Factory and SSIS experience a plus


• A track record of teaching yourself new tools and putting them to work quickly

Physical requirements:

• Frequently lift and/or move IT equipment weighing up to 25 pounds and occasionally lift and/or move equipment up to 50 pounds


• Prolonged periods sitting at a desk and working on a computer

WHAT YOU CAN EXPECT FROM US

• Pay: $111K–$167K annual salary


• Schedule: Standard business hours


• Weekly pay


• 16 days of PTO in your first year


• 401(k) with match starting Day 1


• Medical, dental, and vision coverage effective the 1st of the month after hire


• HSA with up to $1,500 in company contributions, FSA, and wellness premium discount


• Company‑paid life insurance, short‑and long‑term disability, parental leave, and tuition reimbursement


• Pet insurance, healthcare concierge, and Employee Assistance Program (EAP)

This job description describes the general nature and level of work expected. Additional duties may be assigned as needed.

OUR COMMITMENT TO INCLUSION & BELONGING

Schupan is committed to working with the broadest talent pool possible. We believe diverse perspectives foster innovation and engagement, and allow us to attract creative people and develop the best solutions for a more resourceful future. All qualified individuals are encouraged to apply.

We are also committed to an inclusive application and interview process. If you are a candidate with a disability and require a reasonable accommodation to submit an application, please contact Human Resources at [e-mail]. Please include your full name, the role you're applying for, and the accommodation needed to assist you with the recruiting process. We ask that you only reach out if your disability prevents you from completing our online application.

Schupan is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by applicable law.