Senior AWS Databricks Data Engineer – Healthcare Lakehouse

RADcube - A NLogix Company; Indianapolis (IN); On-site; USD 120,000 - 180,000; Full time

Job summary

RADcube - A NLogix Company, located in Indianapolis, IN, is seeking a Senior AWSDataEngineer to support STRADA modernization. You will build and sustain an AWS + Databricks Lakehouse for healthcare analytics, working with real-world data and enterprise-scale pipelines.

Key responsibilities include designing ingestion pipelines, modeling data in Databricks, ensuring governance and compliance, and optimizing cost and performance across cloud services.

Qualifications

• Strong hands-on experience with AWS services (S3, Glue, Lambda, Redshift).
• Proven experience with Databricks (Delta Lake, notebooks, workflows).
• Expertise in SQL and Python.
• Experience building end-to-end ETL/ELT datapipelines.
• 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.

Responsibilities

• Design, develop, and maintain data ingestion pipelines for real-world data 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.

Skills

AWS

Databricks

SQL

Python

ETL/ELT pipelines

Data modeling

Data governance

CI/CD

Workflow orchestration

Observability

Tools

Databricks

Job description

RADcube - A NLogix Company, located in Indianapolis, IN, is seeking a Senior AWSDataEngineer to support STRADA modernization. You will build and sustain an AWS + Databricks Lakehouse for healthcare analytics, working with real-world data and enterprise-scale pipelines.

Key responsibilities include designing ingestion pipelines, modeling data in Databricks, ensuring governance and compliance, and optimizing cost and performance across cloud services.