Note: The job is a remote job and is open to candidates in USA. SAIC is a mission integrator providing technology and engineering solutions across defense, space, intelligence, and civilian markets. The Senior AWS Data Engineer will lead the modernization of a healthcare data platform by evaluating AWS data architectures, designing reporting and query capabilities, and migrating XML-based data to a scalable cloud-native platform. The role also involves optimizing data performance and costs, collaborating with stakeholders and engineers, and implementing CI/CD and infrastructure as code.
Responsibilities
- Evaluate and recommend the optimal AWS-native data storage and query architecture for our XML object store data — assessing options such as S3 + Athena, Aurora, DynamoDB, Redshift, and OpenSearch based on query patterns, reporting needs, cost, and scalability
- Design and build the reporting and query layer that allows business stakeholders and non-technical users to run relational SQL queries against healthcare data using familiar tooling
- Architect the migration path for XML object store data from MSSQL into the target AWS platform, defining storage formats, partitioning strategies, and data organization for optimal query performance
- Build and maintain AWS data catalog, schemas, and metadata management so that object store data is discoverable and queryable by business users
- Optimize query performance and cost across chosen AWS services — partitioning, compression, file formats, and query pattern tuning
- Work directly with business stakeholders and analysts to understand reporting requirements and translate them into durable, performant data models and query patterns
- Collaborate with backend C#/.NET engineers to ensure data flows cleanly from EDI processing pipelines into the new data layer
- Implement and maintain CI/CD pipelines for data infrastructure using AWS-native tooling (CodePipeline, CodeBuild, CodeDeploy)
- Apply infrastructure as code (IaC) practices using AWS CDK, CloudFormation, or Terraform
- Document architecture decisions, data flows, and data dictionaries clearly for both technical and non-technical audiences
Skills
- Clearance Level Must Be Able to Obtain: Public Trust
- Travel Required: No
- Workplace Type: Remote
- Bachelor's or master's degree in computer science, Engineering, or a related technical discipline required; equivalent practical experience considered
- Minimum 8 years of 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
- Track record of evaluating and selecting AWS data services to meet business reporting and query requirements
- 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, CloudWatch
- Strong SQL skills — 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 — Athena, QuickSight, Redshift, or equivalent BI tooling
- Proficient with Git and GitHub — branching strategies, pull requests, collaborative workflows
- Familiarity with CI/CD practices and AWS-native tooling (CodePipeline, CodeBuild, CodeDeploy)
- Infrastructure as code 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
- Comfortable driving ambiguous architecture decisions to resolution with limited direction
- Experience with agile methodologies (Scrum, Kanban) and JIRA
- Strong documentation habits — architecture diagrams, data dictionaries, migration runbooks
- US Citizenship required with the ability to obtain and maintain a Public Trust clearance
- Experience with healthcare data formats — X12 EDI (837, 835, 277CA), HL7, FHIR
- Familiarity with C#/.NET backend services for integration touchpoints
- Experience with Entity Framework migration or deprecation projects
- Knowledge of HIPAA compliance requirements in cloud data architecture
- Experience with healthcare payer/PBM systems, clearinghouses, or pharmacy operations
- AWS certification is a bonus
Benefits
- This is a 100% Remote role.
Company Overview