Data Engineer – Databricks & Lakehouse (Power BI Environment)

Position Summary: The Data Engineer will design, build, and optimize scalable data pipelines and curated data products within a modern Lakehouse architecture (Databricks). This role is responsible for delivering high-quality, business-ready datasets (gold layer) that power enterprise analytics and Power BI reporting. The ideal candidate has deep Databricks experience, strong data modeling skills, and a focus on building reliable, testable, and governed data solutions. Exposure to AI-driven development or AI agents is a plus. Work You’ll Do: Data Engineering & Pipeline Development · Design, develop, and maintain scalable data pipelines using Databricks and Delta Lake · Build and manage transformations across bronze, silver, and gold layers · Optimize processing for performance, reliability, and cost · Integrate data from ERP, CRM, APIs, and other enterprise systems Data Modeling & Business Logic · Develop gold-layer datasets aligned to standardized business definitions · Translate business requirements into reusable data models · Ensure consistency of core metrics across reporting · Align Databricks outputs with Power BI semantic models Data Quality, Testing & Reliability · Implement automated data quality checks and validation rules · Build testable, production-ready pipelines · Support impact analysis using lineage tools · Participate in CI/CD and deployment processes Performance Optimization & Operations · Monitor and optimize pipeline performance · Troubleshoot issues across environments · Ensure data consistency between dev, test, and prod · Support high-volume data workloads AI & Automation (Preferred) · Use AI-assisted tools for development (e.g., Copilot, Databricks Agents) · Explore AI agents for testing, lineage analysis, and optimization · Contribute to AI-driven engineering practices Collaboration & Stakeholder Engagement · Partner with BI and business teams · Support governance and cataloging efforts · Document data models and pipelines Basic Qualifications: · Bachelor’s degree in relevant field · 8+ years data engineering experience · Strong Databricks, Spark, Delta Lake experience · SQL and Python proficiency · Experience with Power BI or similar tools Preferred Qualifications: · Azure Data Factory, Synapse, or Data Lake experience · DevOps and CI/CD experience · AI agents or AI-assisted development exposure · Experience in large, complex enterprise environments Who we are: Mold-Masters ( ) is a leading global supplier of hot runners, controllers, auxiliary injection and co-injection systems. We design, manufacture, distribute, sell and service highly engineered and customized plastic processing equipment that caters to every market. Mold-Masters is a business unit of Hillenbrand. Hillenbrand ( ) is a global industrial company that provides highly engineered, mission-critical processing equipment and solutions to customers in over 100 countries around the world. Our portfolio is composed of leading industrial brands that serve large, attractive end markets, including durable plastics, food, and recycling. Guided by our Purpose — Shape What Matters For Tomorrow™ — we pursue excellence, collaboration, and innovation to consistently shape solutions that best serve our associates, customers, communities, and other stakeholders. EEO: The policy of Hillenbrand Inc. is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, Hillenbrand Inc. and our operating companies are committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. At Hillenbrand, everyone is welcome to apply and "Shape What Matters for Tomorrow".