Data Engineer

Position Overview

We are seeking a Software Development Engineer with strong Python and AWS experience to

support execution of a cloud-native, event-driven platform. This role focuses on implementing

scalable serverless workflows, cloud infrastructure, and secure data pipelines in AWS. You will

work closely with our AWS Architect and engineering team to bring an existing architecture into

production.

Develop and maintain high-quality software solutions using Python.

Implement AWS serverless workflows using Lambda and Step Functions.

Build event-driven architectures leveraging S3 and related AWS services.

Contribute to containerized services running on ECS/Fargate.

Develop and maintain cloud-based data pipelines.

Collaborate with architects and engineers to implement defined system designs.

Troubleshoot distributed system issues and improve reliability.

Participate in code reviews and CI/CD improvements.

4+ years of professional software development experience.

Hands-on experience building solutions on AWS.

Experience with AWS Lambda, Step Functions, S3, and IAM.

Experience designing event-driven or serverless architectures.

Familiarity with Docker and containerization.

Understanding of CI/CD principles.

Experience with healthcare data integration (HL7v2 preferred)

Experience working in HIPAA or other regulated data environments

Understanding of message-based integration patterns (ACK/NACK workflows)

Experience with ECS/Fargate.

Familiarity with AWS CDK or Infrastructure as Code.

Experience working in secure or regulated environments.

Familiarity with structured data integration (HL7 a plus).

Experience with monitoring and logging tools (Cloud Watch, ELK, etc.).