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AWS Data Engineer
Syms Strategic Group, LLC (SSG)Warner Robins, United Statesfull_timeVerifiedPosted 13 May 2026
About the role
Syms Strategic Group (SSG) is seeking a talented Senior Systems Engineer (Amazon Web Services (AWS) Data Engineer)
Location: Remote
Department: Veterans Affairs (VA)
Type: Full Time
Min. Experience: Experienced
Security Clearance Level: Public Trust (MBI)
If you have previously applied to Syms Strategic Group (SSG), there is no need to reapply. Applications are still under review.
Military Veterans are highly encouraged to apply!
Essential Duties and Responsibilities
Location: Remote
Department: Veterans Affairs (VA)
Type: Full Time
Min. Experience: Experienced
Security Clearance Level: Public Trust (MBI)
If you have previously applied to Syms Strategic Group (SSG), there is no need to reapply. Applications are still under review.
Military Veterans are highly encouraged to apply!
Essential Duties and Responsibilities
- Lead the next phase of the healthcare data platform modernization
- Continue the evolution from a Microsoft Structured Query Language Server (MSSQL) eXtensible Markup Language (XML) object store toward a scalable, cloud-native AWS data architecture
- Enable business stakeholders and analysts to run performant, SQL-based reports and queries against the healthcare data seamlessly
- Evaluate and decide the right AWS data strategy for the team’s platform
- Evaluate and commend the optimal AWS-native data storage and query architecture for the XML object store data, assessing options such as Simple Storage Service (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(s), 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 Electronic Data Interchange (EDI) processing pipelines into the new data layer
- Implement and maintain Continuous Integration/Continuous Delivery (CI/CD) pipelines for data infrastructure using AWS-native tooling (CodePipeline, CodeBuild, and CodeDeploy)
- Apply Infrastructure as Code (IaC) practices using AWS Cloud Development Kit (CDK), CloudFormation, or Terraform
- Document architecture decisions, data flows, and data dictionaries clearly for both technical and non-technical audiences
- 8+ years’ 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
- A 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, Identity Access Management (IAM), Cloudwatch)
- Strong SQL skills, with an 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)
- An ability to evaluate trade-offs across AWS data services and make architecture recommendations based on cost, perfor
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