AWS Data Engineer - Databricks

Indianapolis, Indiana, United StatesOnsiteFull TimePosted 2 months agoVisa sponsorship available

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Role summary

We are seeking a skilled AWS Data Engineer to join a STRADA Modernization initiative. This role focuses on building and supporting a modern AWS + Databricks Lakehouse platform for healthcare analytics (RWD/HEOR). Responsibilities include designing, developing, and maintaining data pipelines, optimizing data models, ensuring data governance and quality, and collaborating with stakeholders. The ideal candidate will have strong hands-on experience with AWS services, Databricks, SQL, and Python, along with expertise in data modeling and ETL/ELT processes. A Databricks certification is required, and experience in the healthcare domain is highly preferred.

Job Title: AWS Data Engineer - Databricks
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
Data bricks 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

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