Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.
With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing. Their core service portfolio includes:
Digital Transformation and strategy consulting.
Custom Software Development tailored to specific business needs.
Advanced Data Analytics and AI-driven platforms.
Cybersecurity and risk management.
Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.
The company’s commitment to innovation has earned significant industry honors:
2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.
Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.
Job Title: Senior AWS Data Engineer with Databricks Certified
Location: Indianapolis, IN (Onsite)
Role Overview
We are seeking a highly skilled AWS Data Engineer to support a strategic STRADA Modernization initiative. This role focuses on building and supporting a modern AWS + Databricks Lakehouse platform to enable advanced healthcare analytics (RWD/HEOR). The ideal candidate will have strong hands-on experience with AWS, Databricks, and data pipeline development, along with the ability to work closely with both technical and business stakeholders.
Key Responsibilities
Design, develop, and maintain data ingestion pipelines for real-world data (RWD) sources
Build and optimize data models within a Databricks Lakehouse architecture
Ensure data governance, quality, and compliance standards are met
Optimize cost, performance, and resource utilization across AWS and Databricks
Collaborate with business and technical stakeholders to translate requirements into scalable solutions
Provide technical guidance, coding standards, and best practices
Support knowledge sharing through documentation and training sessions
Deliver status updates and progress reports to senior leadership
Required Qualifications
Strong hands-on experience with AWS services (S3, Glue, Lambda, Redshift, etc.)
Proven experience with Databricks (Delta Lake, notebooks, workflows)
Expertise in SQL and Python
Experience building end-to-end ETL/ELT data pipelines
Strong understanding of data modeling techniques
Experience with data governance, quality, and compliance frameworks
Ability to work independently and in a collaborative team environment
Databricks Certification
Pharma Domain
Highly Preferred Skills
Exposure to RWD (Real World Data) or HEOR analytics
Familiarity with Lakehouse architecture / Medallion (Bronze-Silver-Gold) models
Experience optimizing cost and performance in cloud environments
Strong communication and stakeholder management skills
