The Role
Build and maintain AWS and Databricks Lakehouse data pipelines for healthcare real-world data and HEOR analytics. Develop data models, ensure governance and quality, optimize cloud performance and costs, and implement monitoring, observability, CI/CD, and orchestration practices. Collaborate with technical and business stakeholders, provide technical guidance, document solutions, deliver training, and report progress to senior leadership.
Summary Generated by Built In
Job Title: Senior AWS Data Engineer
Location: Indianapolis, IN
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
Requirements
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
- Experience building and managing CI/CD pipelines
- Experience with workflow orchestration tools
- Exposure to data observability and lineage tools
- Experience with monitoring, logging, and observability frameworks
Highly Preferred Skills
- Experience in Healthcare / Pharma domain
- 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
Skills Required
- Strong hands-on experience with AWS services, including S3, Glue, Lambda, and Redshift
- Proven experience with Databricks, Delta Lake, notebooks, and 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 collaboratively in a team environment
- Databricks Certification
- Experience building and managing CI/CD pipelines
- Experience with workflow orchestration tools
- Exposure to data observability and lineage tools
- Experience with monitoring, logging, and observability frameworks
- Experience in the healthcare or pharmaceutical domain
- Exposure to real-world data or HEOR analytics
- Familiarity with Lakehouse architecture and Medallion Bronze-Silver-Gold models
- Experience optimizing cost and performance in cloud environments
- Strong communication and stakeholder management skills
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The Company
What We Do
RADcube is a technology consulting and software development firm founded in 2015 and headquartered in Carmel, Indiana. It helps organizations turn enterprise ideas into practical innovations through digital transformation, custom software, data analytics, artificial intelligence, cloud computing, cybersecurity, and intelligent automation. The company serves healthcare, finance, government, and manufacturing clients, combining human-centric delivery with responsible, accountable technology solutions designed to produce measurable business outcomes.
