Senior AWS Data Engineer — Remote Healthcare Analytics

Syms Strategic Group, LLC

Virginia Beach (VA)

On-site

USD 85,000 - 117,000

Full time

7 days ago

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Job summary

Syms Strategic Group (SSG) is seeking a Senior Systems Engineer (AWS Data Engineer) to lead the healthcare data platform modernization from MSSQL XML to a scalable AWS data architecture. Remote within the United States, supporting Veterans Affairs (VA) with a 100% remote model.

The role requires deep AWS data services expertise, strong SQL skills, and experience designing reporting layers for business users. Collaboration with back-end C#/.Net and EDI pipelines is essential.

Qualifications

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.
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, IAM, and CloudWatch.
Strong SQL skills with the 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, performance, and business requirements.
Familiarity with AWS analytics and reporting services, including Athena, QuickSight, Redshift, or equivalent BI tooling.
Proficiency with Git and GitHub – branching strategies, pull requests, and collaborative workflows.
Familiarity with CI/CD practices and AWS-native tooling (CodePipeline, CodeBuild, CodeDeploy).
IaC experience (AWS CDK, CloudFormation, or Terraform).
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.
Comfort driving ambiguous architecture decisions to resolutions with limited direction.
Experience with Agile methodologies (Scrum, Kanban) and JIRA.
Strong documentation habits – architecture diagrams, data dictionaries, migration runbooks.

Responsibilities

Lead the next phase of the healthcare data platform modernization.
Implement the evolution from a MSSQL XML object store toward a scalable, cloud-native AWS data architecture that enables business stakeholders and analysts to run performant, SQL-based reports and queries against healthcare data seamlessly.
Evaluate and decide the right AWS data strategy for the platform.
Evaluate and recommend the optimal AWS-native data storage and query architecture for the 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 chose 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 back-end C#/.Net engineer 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, and CodeDeploy).
Apply IaC practices using AWS CDK, CloudFormation, or Terraform.
Document architecture decisions, data flows, and data dictionaries clearly for both technical and non-technical audiences.