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 (www.moldmasters.com) 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.