Data Engineer – Databricks (IBU Consumer)
Big Data
Bigdata
Cloud Data Engineering
Cloud Data Platform
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Governance
Data Integration
Data Integration Tools
Data Lake
Data Lakehouse
Data Management
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Security
Data Warehouse
Database
Databases
Databricks
Databricks Lakehouse
Databricks Pyspark
Databricks Workflows
ETL
Informatica
Information Technology (IT)
Integration
Programming
Programming Languages
Software Development
Spark
SQL
Unity Catalog
Job Description
RADcube is seeking a Data Engineer to build and maintain scalable data pipelines on Databricks for consumer-facing IBU data products. This role focuses on delivering reliable ETL/ELT data flows, applying a medallion architecture, and keeping production jobs performing well through monitoring and cost-conscious optimizations.
The position is based onsite in Indianapolis, Indiana and is intended for candidates with 4+ years of data engineering experience.
What you’ll do
- Build and maintain scalable data pipelines on Databricks for consumer-facing IBU data products.
- Develop ETL/ELT pipelines using PySpark, Spark SQL, and Delta Lake.
- Implement a medallion architecture (bronze/silver/gold) using Unity Catalog and Workflows.
- Optimize cluster performance and cost, and monitor and troubleshoot data jobs in production.
What you bring
- 4+ years of data engineering experience.
- Experience with Databricks, PySpark, SQL, and Git with CI-CD.
- Nice to have: experience with pharma/consumer data.
- Nice to have: Databricks certification.
Technology focus
- Databricks
- PySpark
- Spark SQL
- Delta Lake
- Unity Catalog
- Workflows
- Git
- CI-CD
Job details
- Location: Indianapolis, Indiana, United States (onsite)
- Job type: Full time
- Years of experience: 4-8
- Industry: Technology
- Certifications: Databricks
- Date opened: 10/29/2026
- Postal code: 46204
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