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SAIC

Sr. Systems Engineer (AWS Data Engineer)

Posted 2 months ago
10+ years experience
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AI Summary

The Sr. AWS Data Engineer will lead the modernization of a healthcare data platform by migrating XML object store data to a scalable AWS-native architecture. This role involves designing reporting layers, optimizing query performance, and collaborating with stakeholders to ensure data discoverability and usability.

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-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 

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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