Data Engineer
Databricks DeveloperFranklin Park, IL$125K-$155KPermanentAbout the RoleWe're hiring a Databricks Developer to build and own our cloud-based data platform from the inside out. This is a newly created, high-impact position reporting to the Director of Enterprise Applications and Data Analytics within Information Technology.You'll be transitioning work currently handled externally, taking full ownership of the Databricks environment and working closely with both technical teams and business stakeholders to deliver scalable, reliable data solutions. You'll be the specialist on a small, collaborative team — which means broad influence, real visibility, and the opportunity to shape standards, architecture, and best practices from day one.This role is for someone who is ready to hit the ground running — not grow into it. If you thrive in environments where your work has direct, measurable impact and you enjoy wearing multiple hats, this is the right opportunity.What You'll Be DoingData Platform EngineeringDesign, develop, and maintain scalable data pipelines and ELT/ETL workflows using Databricks and Apache Spark (PySpark/Spark SQL)Build and optimize lakehouse architecture using Delta Lake and related formats (Parquet, Iceberg)Apply medallion architecture principles — bronze, silver, and gold layers — across solution designDevelop production-grade data workflows using Databricks Workflows and/or Declarative PipelinesImplement data governance, security, and access controls using Unity CatalogCloud & MigrationSupport migration from legacy data warehouse systems to modern, cloud-based architecturesDesign and implement solutions on AWS, Azure, or GCPImplement CI/CD pipelines and infrastructure-as-code (Terraform, Databricks Asset Bundles, GitHub Actions)Monitor, troubleshoot, and resolve production pipeline issues to ensure reliability and performanceCollaboration & StandardsPartner with technical and business stakeholders to translate requirements into scalable data solutionsFacilitate technical workshops to identify opportunities and deliver business valueParticipate in code reviews, testing, documentation, and deployment activitiesContribute to the continuous improvement of data engineering standards, tools, and best practicesProvide technical support during implementation and stabilization phasesWhat We're Looking ForRequired5+ years of data engineering experience4+ years of hands-on experience with the Databricks platformStrong proficiency in Apache Spark (PySpark and/or Spark SQL)Experience designing and implementing solutions on AWS, Azure, or GCPHands-on expertise in ELT processes, data security, data wrangling, and cloud computingProficiency in SQL, data integration/EAI, database technologies, and visualization platformsCross-functional experience — you've worked across multiple environments, not been siloed in one specialtyHighly analytical, detail-oriented, and self-motivated with strong written and verbal communication skillsBachelor's degree in Engineering, IT, Computer Science, or a related field (preferred)Nice to HaveDatabricks certification (especially valuable if no degree)Experience with business analytics design and developmentFamiliarity with business processes and company-wide systemsBackground in manufacturing or similarly complex operational environmentsStrong change enablement and business process redesign skills