Remote AWS Data Engineer — Healthcare Analytics

Syms Strategic Group, LLC

Severna Park (MD)

On-site

USD 85,000 - 117,000

Full time

4 days ago
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Job summary

Syms Strategic Group (SSG) is seeking a Senior Systems Engineer to drive the next phase of our AWS-based data platform modernization. You will design and implement cloud-native data architectures to support SQL-based reporting for healthcare data, collaborating with stakeholders and a C#/.NET team.

The role emphasizes evaluating AWS data services, building scalable data models, and delivering efficient, cost-conscious solutions in a fully remote U.S. setup.

Qualifications

  • 8+ years of software or data engineering experience with strong AWS focus.
  • Proven experience architecting cloud data platform migrations in production environments.
  • Track record of evaluating and selecting AWS data services to meet reporting needs.
  • Experience delivering reporting or analytics solutions for non-technical users.
  • Hands-on AWS data services: S3, Athena, Glue, Aurora, DynamoDB, Redshift, OpenSearch, Lambda, IAM, and CloudWatch.

Responsibilities

  • Lead modernization of the healthcare data platform.
  • Architect AWS data architecture for scalable reporting and queries.
  • Define migration path from MSSQL XML object store to AWS platform.
  • Build and maintain AWS data catalog, schemas, and metadata management.
  • Collaborate with back-end engineers to ensure data flows from EDI pipelines.

Skills

AWS data engineering
SQL skills
XML data handling
Cloud architecture
CI/CD practices
Stakeholder communication

Education

Bachelor's degree in CS/Engineering or related

Tools

Git
AWS CodePipeline
AWS CDK
CloudFormation
Terraform

Job description

Syms Strategic Group (SSG) is seeking a Senior Systems Engineer to drive the next phase of our AWS-based data platform modernization. You will design and implement cloud-native data architectures to support SQL-based reporting for healthcare data, collaborating with stakeholders and a C#/.NET team.

The role emphasizes evaluating AWS data services, building scalable data models, and delivering efficient, cost-conscious solutions in a fully remote U.S. setup.

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