Senior AWS Data Engineer
Skills
C#Computer ScienceBusiness IntelligenceData ServicesData StrategiesEvolutionGlue
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 8+ years of software or data engineering experience with a strong AWS focus
- Bachelor's or Master's in Computer Science Engineering or a related technical discipline
- Deep AWS data services experience with S3 Athena Glue Aurora DynamoDB Redshift OpenSearch Lambda IAM and CloudWatch
- Strong SQL skills including designing relational query layers over semi-structured or non-relational data
- Experience parsing querying and transforming XML-heavy data stores at scale
- Familiarity with Athena QuickSight Redshift or equivalent BI tooling
- Proven experience leading cloud data platform migrations in enterprise or healthcare environments
- Track record of evaluating AWS data services and recommending architecture based on cost performance and business need
- Experience delivering reporting or analytics for non-technical business users
- IaC with AWS CDK CloudFormation or Terraform
- CI/CD with AWS CodePipeline CodeBuild and CodeDeploy
- Git or GitHub collaborative workflows
- Strong ability to communicate architecture decisions and trade-offs to non-technical stakeholders
- Comfortable resolving ambiguous architecture decisions with limited direction
- Agile delivery and JIRA with strong documentation habits
- US Citizenship required with ability to obtain and maintain a Public Trust clearance
Nice to have
- X12 EDI experience
- HL7 experience
- FHIR experience
- C#/.NET integration familiarity
- Entity Framework migration experience
- HIPAA compliance knowledge
- Healthcare payer background
- Pharmacy operations background
- AWS certification
- Public Trust clearance eligibility
Day to day
- Evaluate AWS-native data storage and query architectures against query patterns reporting needs cost and scalability
- Architect the migration path from an MSSQL XML object store into a cloud-native AWS platform with organized storage formats partitioning and data organization
- Design and build a reporting and query layer that enables stakeholders to run relational SQL queries against healthcare data
- Build and maintain AWS data catalogs schemas and metadata so data is discoverable and queryable
- Optimize query performance and cost across chosen AWS services through partitioning compression and file format choices
- Partner with backend C#/.NET engineers to ensure data flows cleanly from EDI processing pipelines into the new data layer
- Maintain CI/CD for data infrastructure using AWS-native tooling
- Document architecture decisions data flows and data dictionaries for technical and non-technical audiences
Hiring process
- Click Apply on LinkedIn
- Visit eliosai.com/browse-jobs