Data Engineer – Databricks, Lakehouse, Power BI

🕒 June 5

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Hillenbrand

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Manufacturing • Engineering • Sustainability

Hillenbrand is a global provider of highly engineered, mission-critical processing equipment and systems, serving a diverse range of industries including durable plastics, food, and recycling. With a commitment to innovation and sustainability, Hillenbrand focuses on shaping solutions that impact lives and drive growth in a continually changing world. The company emphasizes excellence and continuous improvement, ensuring their products not only meet present-day needs but also anticipate future demands.

📋 Description

• 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 • 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 • 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 • Monitor and optimize pipeline performance • Troubleshoot issues across environments • Ensure data consistency between dev, test, and prod • Support high-volume data workloads • Use AI-assisted tools for development (e.g., Copilot, Databricks Agents) (Preferred) • Explore AI agents for testing, lineage analysis, and optimization (Preferred) • Partner with BI and business teams • Support governance and cataloging efforts • Document data models and pipelines

🎯 Requirements

• 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 • Azure Data Factory, Synapse, or Data Lake experience (Preferred) • DevOps and CI/CD experience (Preferred) • AI agents or AI-assisted development exposure (Preferred) • Experience in large, complex enterprise environments (Preferred)

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off