{"schemaVersion":"jobsearcher.job.v1","id":"ba1a2d2ede6bf2086dfa53e8","url":"https://jobsearcher.com/jobs/ba1a2d2ede6bf2086dfa53e8","canonicalUrl":"https://jobsearcher.com/jobs/ba1a2d2ede6bf2086dfa53e8","title":"Sr. Systems Engineer (AWS Data Engineer)","description":"Job ID: 2616243\n\nLocation: Remote Work, TX, US\n\nDate Posted: 2026-08-28\n\nCategory: Engineering and Sciences\n\nSubcategory: Systems Engineer\n\nSchedule: Full-Time\n\nShift: Day Job\n\nTravel: No\n\nMinimum Clearance Required: None\n\nClearance Level Must Be Able to Obtain: Public Trust\n\nPotential for Remote Work: ORA_REMOTE\n\nDescription\n\nSAIC is searching for a motivated, career and customer-oriented Sr. AWS Data Engineer who will lead the next phase of our healthcare data platform modernization. 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.\n\nJob Description\n\nEvaluate 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\nDesign 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\nArchitect 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\nBuild and maintain AWS data catalog, schemas, and metadata management so that object store data is discoverable and queryable by business users\nOptimize query performance and cost across chosen AWS services — partitioning, compression, file formats, and query pattern tuning\nWork directly with business stakeholders and analysts to understand reporting requirements and translate them into durable, performant data models and query patterns\nCollaborate with backend C#/.NET engineers to ensure data flows cleanly from EDI processing pipelines into the new data layer\nImplement and maintain CI/CD pipelines for data infrastructure using AWS-native tooling (CodePipeline, CodeBuild, CodeDeploy)\nApply infrastructure as code (IaC) practices using AWS CDK, CloudFormation, or Terraform\nDocument architecture decisions, data flows, and data dictionaries clearly for both technical and non-technical audiences\n\nQualifications\n\nEducation\n\nBachelor's or Master's degree in computer science, Engineering, or a related technical discipline required; equivalent practical experience considered\n\nExperience\n\nMinimum 8 years of experience in software or data engineering with a strong AWS focus\nProven experience architecting and executing cloud data platform migrations in production enterprise or healthcare environments\nTrack record of evaluating and selecting AWS data services to meet business reporting and query requirements\nExperience delivering reporting or analytics solutions that serve non-technical business users\n\nRequirements\n\nCore Technical\n\nDeep hands-on AWS experience across data-oriented services — S3, Athena, Glue, Aurora, DynamoDB, Redshift, OpenSearch, Lambda, IAM, CloudWatch\nStrong SQL skills — ability to design relational query layers over semi-structured or non-relational data (XML, JSON)\nExperience working with XML-heavy data stores — parsing, querying, and transforming XML at scale\nAbility to evaluate trade-offs across AWS data services and make architecture recommendations based on cost, performance, and business requirements\nFamiliarity with AWS analytics and reporting services — Athena, QuickSight, Redshift, or equivalent BI tooling\nProficient with Git and GitHub — branching strategies, pull requests, collaborative workflows\nFamiliarity with CI/CD practices and AWS-native tooling (CodePipeline, CodeBuild, CodeDeploy)\nInfrastructure as code experience (AWS CDK, CloudFormation, or Terraform)\n\nProcess & Soft Skills\n\nStrong ability to communicate technical architecture decisions and trade-offs to non-technical stakeholders\nExperience gathering and translating business reporting requirements into technical data models\nComfortable driving ambiguous architecture decisions to resolution with limited direction\nExperience with agile methodologies (Scrum, Kanban) and JIRA\nStrong documentation habits — architecture diagrams, data dictionaries, migration runbooks\n\nNice to Have\n\nExperience with healthcare data formats — X12 EDI (837, 835, 277CA), HL7, FHIR\nFamiliarity with C#/.NET backend services for integration touchpoints\nExperience with Entity Framework migration or deprecation projects\nKnowledge of HIPAA compliance requirements in cloud data architecture\nExperience with healthcare payer/PBM systems, clearinghouses, or pharmacy operations\nAWS certification is a bonus\n\nClearance Requirement: US Citizenship required with the ability to obtain and maintain a Public Trust clearance\n\nTarget salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.","company":"SAI","rawCompany":"sai","city":"Round Rock","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-01T10:07:39.476Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Systems Engineer (AWS Data Engineer)","description":"Job ID: 2616243\n\nLocation: Remote Work, TX, US\n\nDate Posted: 2026-08-28\n\nCategory: Engineering and Sciences\n\nSubcategory: Systems Engineer\n\nSchedule: Full-Time\n\nShift: Day Job\n\nTravel: No\n\nMinimum Clearance Required: None\n\nClearance Level Must Be Able to Obtain: Public Trust\n\nPotential for Remote Work: ORA_REMOTE\n\nDescription\n\nSAIC is searching for a motivated, career and customer-oriented Sr. AWS Data Engineer who will lead the next phase of our healthcare data platform modernization. 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.\n\nJob Description\n\nEvaluate 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\nDesign 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\nArchitect 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\nBuild and maintain AWS data catalog, schemas, and metadata management so that object store data is discoverable and queryable by business users\nOptimize query performance and cost across chosen AWS services — partitioning, compression, file formats, and query pattern tuning\nWork directly with business stakeholders and analysts to understand reporting requirements and translate them into durable, performant data models and query patterns\nCollaborate with backend C#/.NET engineers to ensure data flows cleanly from EDI processing pipelines into the new data layer\nImplement and maintain CI/CD pipelines for data infrastructure using AWS-native tooling (CodePipeline, CodeBuild, CodeDeploy)\nApply infrastructure as code (IaC) practices using AWS CDK, CloudFormation, or Terraform\nDocument architecture decisions, data flows, and data dictionaries clearly for both technical and non-technical audiences\n\nQualifications\n\nEducation\n\nBachelor's or Master's degree in computer science, Engineering, or a related technical discipline required; equivalent practical experience considered\n\nExperience\n\nMinimum 8 years of experience in software or data engineering with a strong AWS focus\nProven experience architecting and executing cloud data platform migrations in production enterprise or healthcare environments\nTrack record of evaluating and selecting AWS data services to meet business reporting and query requirements\nExperience delivering reporting or analytics solutions that serve non-technical business users\n\nRequirements\n\nCore Technical\n\nDeep hands-on AWS experience across data-oriented services — S3, Athena, Glue, Aurora, DynamoDB, Redshift, OpenSearch, Lambda, IAM, CloudWatch\nStrong SQL skills — ability to design relational query layers over semi-structured or non-relational data (XML, JSON)\nExperience working with XML-heavy data stores — parsing, querying, and transforming XML at scale\nAbility to evaluate trade-offs across AWS data services and make architecture recommendations based on cost, performance, and business requirements\nFamiliarity with AWS analytics and reporting services — Athena, QuickSight, Redshift, or equivalent BI tooling\nProficient with Git and GitHub — branching strategies, pull requests, collaborative workflows\nFamiliarity with CI/CD practices and AWS-native tooling (CodePipeline, CodeBuild, CodeDeploy)\nInfrastructure as code experience (AWS CDK, CloudFormation, or Terraform)\n\nProcess & Soft Skills\n\nStrong ability to communicate technical architecture decisions and trade-offs to non-technical stakeholders\nExperience gathering and translating business reporting requirements into technical data models\nComfortable driving ambiguous architecture decisions to resolution with limited direction\nExperience with agile methodologies (Scrum, Kanban) and JIRA\nStrong documentation habits — architecture diagrams, data dictionaries, migration runbooks\n\nNice to Have\n\nExperience with healthcare data formats — X12 EDI (837, 835, 277CA), HL7, FHIR\nFamiliarity with C#/.NET backend services for integration touchpoints\nExperience with Entity Framework migration or deprecation projects\nKnowledge of HIPAA compliance requirements in cloud data architecture\nExperience with healthcare payer/PBM systems, clearinghouses, or pharmacy operations\nAWS certification is a bonus\n\nClearance Requirement: US Citizenship required with the ability to obtain and maintain a Public Trust clearance\n\nTarget salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.","datePosted":"2026-09-01T10:07:39.476Z","dateModified":"2026-09-01T10:07:39.476Z","hiringOrganization":{"@type":"Organization","name":"SAI","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Round Rock","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ba1a2d2ede6bf2086dfa53e8"},"url":"https://jobsearcher.com/jobs/ba1a2d2ede6bf2086dfa53e8"}}