Senior Systems Engineer (AWS Data Engineer)

Senior Systems Engineer (AWS Data Engineer) seeking to lead the next phase of the healthcare data platform modernization. Implementing a scalable, cloud-native AWS data architecture and designing a reporting and query layer for business stakeholders and analysts. Collaborating with back-end C#/.Net engineer to ensure data flows cleanly from EDI processing pipelines into the new data layer.

Requirements

• 8+ years’ experience in software or data engineering with a strong AWS focus
• Proven experience architecting and executing cloud data platform migrations in production enterprise or healthcare environments
• Experience delivering reporting or analytics solutions that serve non-technical business users
• Deep hands-on AWS experience across data-oriented services – S3, Athena, Glue, Aurora, DynamoDB, Redshift, OpenSearch, Lambda, IAM, and Cloudwatch
• Strong SQL skills with the ability to design relational query layers over semi-structured or non-relational data (XML, JSON)
• Experience working with XML-heavy data stores – parsing, querying, and transforming XML at scale
• Ability to evaluate trade-offs across AWS data services and make architecture recommendations based on cost, performance, and business requirements
• Familiarity with AWS analytics and reporting services, including Athena, QuickSight, RedShift, or equivalent Business Intelligence (BI) tooling
• Proficiency with Git and GitHub - branching strategies, pull requests, and collaborative workflows
• Familiarity with CI/CD practices and AWS-native tooling (CodePipeline, CodeBuild, and CodeDeploy)
• IaC experience (AWS CDK, CloudFormation, or Terraform)
• Strong ability to communicate technical architecture decisions and trade-offs to non-technical stakeholders
• Experience gathering and translating business reporting requirements into technical data models
• Comfort driving ambiguous architecture decisions to resolutions with limited direction
• Experience with Agile methodologies (Scrum, Kanban) and JIRA
• Strong documentation habits – architecture diagrams, data dictionaries, migration runbooks

Benefits

• Medical, Dental, and Vision
• Paid Time Off
• 401(k)
• Retirement Plan
• Life Insurance