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.

Hillenbrand (www.hillenbrand.com) 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 [HIDDEN TEXT] . 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.

Data Engineer Databricks & Lakehouse (Power BI Environment)