{"id":3355795,"url":"https://alion.io/job/schupan-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2526305,"name":"Schupan","domain":"schupan.com","url":"https://alion.io/company/schupan","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Paycom","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":111000,"max":167000,"currency":"USD","period":"year","gross":null,"usd_annual":167000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"Claude","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Go","optional":false},{"name":"GraphQL","optional":false},{"name":"MS SQL","optional":false},{"name":"Python","optional":false},{"name":"Replit","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false}],"status":"live","first_seen_at":"2026-10-27T19:52:41Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-31T06:26:25Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Senior Data Engineer\nStandard Business Hours | Kalamazoo, MI | Full-Time | $111K-$167K/year\nABOUT SCHUPAN\nWe 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.\nOUR CORE VALUES\nIntegrity | Compassion | Empowerment | Sustainability\nWHAT YOU WILL ACHIEVE\nThe 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.\nHOW YOU WILL DO IT\nData Platform: Design, build, and maintain pipelines and data models in Databricks, our primary data platform. Monitor their performance, reliability, and cost.\nSystems 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.\nBuild 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.\nSolve 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.\nData Quality: Implement validation and monitoring so data stays accurate, consistent, and trusted across relational, column-oriented, and unstructured sources.\nSecurity Compliance: Follow security practices and comply with regulatory standards and company policies, including access and permissions standards.\nCommunication: Translate business needs into technical requirements, and explain technical choices clearly to senior leadership and non-technical colleagues.\nInteract in person with coworkers\nPerform other duties as assigned\nWHAT WE NEED FROM YOU\nBasic requirements:\nBachelor’s degree in computer science, information systems, data engineering, applied mathematics, or a similar field (preferred)\nMinimum of 5 years of experience as a Data Engineer, API Developer, or similar role\nHands-on experience building and operating data pipelines in Databricks (Spark, SQL, Delta Lake)\nStrong SQL skills, including T-SQL and Microsoft SQL Server\nIntermediate or expert proficiency in Python\nExperience designing and consuming APIs (REST; GraphQL a plus) and working with integration platforms\nDemonstrated, 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.\nExperience integrating cloud services with on-premises systems; Azure Data Factory and SSIS experience a plus\nA track record of teaching yourself new tools and putting them to work quickly\nPhysical requirements:\nFrequently lift and/or move IT equipment weighing up to 25 pounds and occasionally lift and/or move equipment up to 50 pounds\nProlonged periods sitting at a desk and working on a computer\nWHAT YOU CAN EXPECT FROM US\nPay: $111K-$167K annual salary\nSchedule: Standard business hours\nWeekly pay\n16 days of PTO in your first year\n401(k) with match starting Day 1\nMedical, dental, and vision coverage effective the 1st of the month after hire\nHSA with up to $1,500 in company contributions, FSA, and wellness premium discount\nCompany-paid life insurance, short- and long-term disability, parental leave, and tuition reimbursement\nPet insurance, healthcare concierge, and Employee Assistance Program (EAP)\nThis job description describes the general nature and level of work expected. Additional duties may be assigned as needed.\nOUR COMMITMENT TO INCLUSION & BELONGING\nSchupan 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.\nWe 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 . 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.\nSchupan is an Equal Opportunity Employer. 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