Senior Data Engineer

Job Title: Senior AWS Data Engineer
Location: Indianapolis, IN (Hybrid)

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 

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