[Remote] Sr. Systems Engineer (AWS Data Engineer)

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.

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