Systems Engineer (AWS Data Engineer)

This role is central to our evolution from an MSSQL XML object store toward a scalable, cloud-native AWS data architecture - one that enables business stakeholders and analysts to run performant, SQL-based reports and queries against our healthcare data seamlessly. This person will help evaluate and decide the right AWS data strategy for our platform. This is a 100% Remote role. Job Description + 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 Qualifications Education + Bachelor’s or Master’s degree in computer science, Engineering, or a related technical discipline required; equivalent practical experience considered Experience + 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 Requirements Core Technical + 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) Process & Soft Skills + 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 Nice to Have + 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 Clearance Requirement: US Citizenship required with the ability to obtain and maintain a Public Trust clearance Target salary range: $120,001 - $160,000.

The estimate displayed represents the typical salary range for this position based on experience and other factors. REQNUMBER: 2616243 SAIC is a premier technology integrator, solving our nation’s most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion.