About this opportunity
Saic lists this Sr. Systems Engineer (AWS Data Engineer) opportunity in town of texas, Wisconsin. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Description
SAIC 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-basedreportsand 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 theoptimalAWS-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 foroptimalquery performance
Build andmaintainAWS data catalog, schemas, and metadata management so that object store data is discoverable andqueryableby business users
Optimizequery 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 andmaintainCI/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 ormaster's degree in computer science, Engineering, or a related technical disciplinerequired; 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 recordof 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 andmaintaina 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.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.