Parts Town Careers

See What We’re All About

As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That’s key. But we’re also looking for unique enthusiasm, high integrity, courage to embrace change…and if you know a few jokes, that puts you on the top of our list!

Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We’re more interested in passionate people with fresh ideas from different backgrounds. That’s what keeps us at the top of our game. We’re proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain’s Fast 50 list ten times. We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years.

If you’re ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let’s chat – Apply Today!

Perks

• Parts Town Pride – check out our virtual tour and culture!
• Quarterly profit-sharing bonus
• Hybrid Work schedule
• Team member appreciation events and recognition programs
• Volunteer opportunities
• Monthly IT stipend
• Casual dress code
• On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses
• All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away – don’t worry, we’ve got you covered.

The Job at a Glance

The Senior Data Engineer – Palantir Foundry is a hands-on engineer responsible for building, curating, and operationalizing data pipelines, ontologies, and applications within Palantir Foundry. This role partners closely with the Principal Data & Semantic Architect, GCP Data Engineering teams, and business stakeholders to turn enterprise data into trusted analytics, workflows, and AI-enabled use cases. 

A Typical Day

Palantir Foundry Engineering 

• Design, build, and maintain data pipelines in Palantir Foundry, using Pipeline Builder and Code Repositories (Python / PySpark / SQL). 
• Implement and extend ontology objects (entities, attributes, relationships, metrics) as defined by the Principal Data & Semantic Architect. 
• Map curated datasets into ontology-backed objects for reuse across analytics, applications, and workflows. 
• Ensure data quality, lineage, permissions, and reliability of Foundry datasets and objects. 

Application & Analytics Enablement 

• Build and support Foundry applications, operational workflows, and analytical views that leverage ontology-backed data. 
• Partner with analytics and business teams to translate requirements into performant Foundry implementations. 
• Support AI- and decision-oriented use cases by preparing ML-ready and feature-aligned datasets within Foundry. 

Platform & Integration Collaboration 

• Work closely with GCP Data Engineers to align Foundry pipelines with upstream ingestion and transformation patterns. 

• Collaborate with integration teams to ensure consistent sourcing from SAP, WMS, e-commerce, CRM, and third-party systems. 
• Follow clean-core and platform governance principles when integrating SAP and other enterprise systems. 

Governance, Quality & Operations 

• Adhere to enterprise data governance, security, and privacy standards within Foundry. 
• Participate in code reviews, testing, and release processes to ensure production readiness. 
• Monitor and troubleshoot data pipeline failures and performance issues. 
• Contribute to documentation and knowledge sharing across the Data & AI team. 

To Land This Opportunity

• You have 5+ years of experience in data engineering, analytics engineering, or platform engineering roles. 
• You demonstrate hands-on experience building pipelines and transformations using Python, PySpark, and SQL. 
• You have experience working with modern data platforms and analytics tools. 
• You have a strong proficiency in Python / PySpark and SQL. 
• You’re experienced with Palantir Foundry (pipelines, ontology, apps) or strong ability to ramp quickly. 
• You’re familiar with cloud data warehouses such as BigQuery or equivalent. 
• You have an understanding of data quality, lineage, and access control concepts. 

About Your Future Team

We are about working hard and playing hard. We are about having each others back, taking on responsibility and making things better for all. We are gritty, roll back your sleeves and get the job done with an inclusive, positive can-do attitude. We enjoy our social events, celebrating with food (of course) and celebrating our team members life’s milestones and events

At Parts Town, we value transparency and are committed to ensuring our team members feel appreciated and supported.   We prioritize our positive workplace culture where collaboration, growth, and work-life balance are celebrated. The salary range for this role is $115,753.54- – 156,213.68 salary which is based on including but not limited to qualifications, experience, and geographical location. Parts Town is a pay for performance-company. In addition to base pay, some roles offer a profit-sharing program, and an annual bonus depending on the role. Our comprehensive benefits package includes health, dental and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid sick time off, paid holidays, paid parental leave, and professional development opportunities.

Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.