Senior Systems Engineer (AWS Data Engineer)
United States of America
Full Time
2 hours ago
No H1B
Key skills
AWSAWS data servicesAWS S3AWS AthenaAWS GlueAWS AuroraAWS DynamoDBAWS RedshiftAWS OpenSearchAWS LambdaAWS IAMAWS CloudWatchSQLXML data processingJSONGitGitHubCI/CDAWS CodePipelineAWS CodeBuildAWS CodeDeployInfrastructure as CodeAWS CDKCloudFormationTerraformData platform migrationHealthcare data systemsBusiness Intelligence toolingData modelingElectronic Data Interchange (EDI)C#/.NetAgile methodologiesC#C.NETData EngineeringAnalyticsBIBusiness IntelligenceRedshiftAmazon Web ServicesLambdaS3DynamoDBIAMCloudWatchGlueAthenaCodePipelineCodeBuildCodeDeployMSSQLJiraAgileScrumKanban
About this role
Syms Strategic Group (SSG) is seeking a talented Senior Systems Engineer (Amazon Web Services (AWS) Data Engineer). The role involves leading the modernization of a healthcare data platform and architecting a scalable, cloud-native AWS data architecture to support business reporting and analytics needs.
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
Requirements:
- 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, performance, and business requirements
- Familiarity with AWS analytics and reporting services, including Athena, QuickSight, Redshift, or equivalent Business Intelligence (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, and CodeDeploy)
- IaC experience (AWS CDK, Cloud Formation, or Terraform)
- A 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 resolution with limited direction
- Experience with Agile methodologies (Scrum, Kanban) and JIRA
- Strong documentation habits, including architecture diagrams, data dictionaries, and migration runbooks
- Bachelor's degree or higher in Computer Science, Engineering, or a related technical discipline
- U.S. Citizenship required for this specific opportunity
- Must possess or qualify for a Public Trust (MBI)
- AWS Certification(s) are a plus
- Electronic Data Interchange X.12 (EDI) Medical Claims
- X.12, Medical Claims (837, 835, 277CA, etc), Health Level (HL7), Fast Healthcare Interoperability Resources (FHIR)
- Familiarity with C#/.Net backend services for integration touchpoints
- Experience with Entity Framework migration or depreciation projects
- Knowledge of HIPAA compliance requirements in cloud data architecture
- Experience with healthcare payer/PBM systems, clearinghouses, or pharmacy operations
- Experience working with remote U.S. based teams (Not Offshore teams)