AWS Data Engineer - Databricks

AWS Data Engineer - Databricks RADcube - 4.0 Indianapolis, IN Job Details Full-time 20 hours ago Qualifications Data model design Databricks Data Integration (Data management) SQL databases Data modeling projects SQL Data quality management Python Full Job Description Job Information Date Opened 05/05/2026 Industry Technology Job Type Full time Years of Experience 10 City Indianapolis State/Province Indiana Country United States Zip/Postal Code 46201 About Us 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 Description 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 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 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