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Job Details

Skills

Data Storage
Scalability
Storage
Meta-data Management
Data Compression
File Formats
Collaboration
Data Flow
Computer Science
Data Engineering
Amazon S3
Amazon DynamoDB
SQL
JSON
XML
Analytics
Microsoft SSRS
Amazon Redshift
Business Intelligence
Git
GitHub
Workflow
Continuous Integration
Continuous Delivery
Terraform
Soft Skills
IT Architecture
Reporting
Agile
Scrum
Kanban
JIRA
Documentation
ASC X12
Electronic Data Interchange
HL7
C#
.NET
Entity Framework
Migration
HIPAA
Cloud Computing
Data Architecture
Health Care
Pharmacy
Amazon Web Services
Security Clearance
Information Technology
Systems Engineering
FOCUS

Data Storage
Scalability
Storage
Meta-data Management
Data Compression
File Formats
Collaboration
Data Flow
Computer Science
Data Engineering
Amazon S3
Amazon DynamoDB
SQL
JSON
XML
Analytics
Microsoft SSRS
Amazon Redshift
Business Intelligence
Git
GitHub
Workflow
Continuous Integration
Continuous Delivery
Terraform
Soft Skills
IT Architecture
Reporting
Agile
Scrum
Kanban
JIRA
Documentation
ASC X12
Electronic Data Interchange
HL7
C#
.NET
Entity Framework
Migration
HIPAA
Cloud Computing
Data Architecture
Health Care
Pharmacy
Amazon Web Services
Security Clearance
Information Technology
Systems Engineering
FOCUS

Summary

Job ID: 2616243

Location: Remote Work, TX, US

Date Posted: 2026-08-28

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: ORA_REMOTE

Description

?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

Qualifications

Education

Bachelor's or Master's degree in computer science, Engineering, or a related technical discipline required; equivalent practical experience considered

Experience

Minimum 8 years of 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

Requirements

Core Technical

Deep hands-on AWS experience across data-oriented services - S3, Athena, Glue, Aurora, DynamoDB, Redshift, OpenSearch, Lambda, IAM, CloudWatch
Strong SQL skills - 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
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 - Athena, QuickSight, Redshift, or equivalent BI tooling
Proficient with Git and GitHub - branching strategies, pull requests, collaborative workflows
Familiarity with CI/CD practices and AWS-native tooling (CodePipeline, CodeBuild, CodeDeploy)
Infrastructure as code experience (AWS CDK, CloudFormation, or Terraform)

Process & Soft Skills

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
Comfortable driving ambiguous architecture decisions to resolution with limited direction
Experience with agile methodologies (Scrum, Kanban) and JIRA
Strong documentation habits - architecture diagrams, data dictionaries, migration runbooks

Nice to Have

Experience with healthcare data formats - X12 EDI (837, 835, 277CA), HL7, FHIR
Familiarity with C#/.NET backend services for integration touchpoints
Experience with Entity Framework migration or deprecation projects
Knowledge of HIPAA compliance requirements in cloud data architecture
Experience with healthcare payer/PBM systems, clearinghouses, or pharmacy operations
AWS certification is a bonus

Clearance Requirement: ship required with the ability to obtain and maintain a Public Trust clearance

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111346
Position Id: 2616243
Posted 30+ days ago

Company Info

About SAIC

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. 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.

Job Details

Skills

Data Storage
Scalability
Storage
Meta-data Management
Data Compression
File Formats
Collaboration
Data Flow
Computer Science
Data Engineering
Amazon S3
Amazon DynamoDB
SQL
JSON
XML
Analytics
Microsoft SSRS
Amazon Redshift
Business Intelligence
Git
GitHub
Workflow
Continuous Integration
Continuous Delivery
Terraform
Soft Skills
IT Architecture
Reporting
Agile
Scrum
Kanban
JIRA
Documentation
ASC X12
Electronic Data Interchange
HL7
C#
.NET
Entity Framework
Migration
HIPAA
Cloud Computing
Data Architecture
Health Care
Pharmacy
Amazon Web Services
Security Clearance
Information Technology
Systems Engineering
FOCUS

Data Storage
Scalability
Storage
Meta-data Management
Data Compression
File Formats
Collaboration
Data Flow
Computer Science
Data Engineering
Amazon S3
Amazon DynamoDB
SQL
JSON
XML
Analytics
Microsoft SSRS
Amazon Redshift
Business Intelligence
Git
GitHub
Workflow
Continuous Integration
Continuous Delivery
Terraform
Soft Skills
IT Architecture
Reporting
Agile
Scrum
Kanban
JIRA
Documentation
ASC X12
Electronic Data Interchange
HL7
C#
.NET
Entity Framework
Migration
HIPAA
Cloud Computing
Data Architecture
Health Care
Pharmacy
Amazon Web Services
Security Clearance
Information Technology
Systems Engineering
FOCUS

Summary

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

Qualifications

Education

Bachelor's or Master's degree in computer science, Engineering, or a related technical discipline required; equivalent practical experience considered

Experience

Minimum 8 years of 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

Requirements

Core Technical

Deep hands-on AWS experience across data-oriented services - S3, Athena, Glue, Aurora, DynamoDB, Redshift, OpenSearch, Lambda, IAM, CloudWatch
Strong SQL skills - 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
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 - Athena, QuickSight, Redshift, or equivalent BI tooling
Proficient with Git and GitHub - branching strategies, pull requests, collaborative workflows
Familiarity with CI/CD practices and AWS-native tooling (CodePipeline, CodeBuild, CodeDeploy)
Infrastructure as code experience (AWS CDK, CloudFormation, or Terraform)

Process & Soft Skills

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
Comfortable driving ambiguous architecture decisions to resolution with limited direction
Experience with agile methodologies (Scrum, Kanban) and JIRA
Strong documentation habits - architecture diagrams, data dictionaries, migration runbooks

Nice to Have

Experience with healthcare data formats - X12 EDI (837, 835, 277CA), HL7, FHIR
Familiarity with C#/.NET backend services for integration touchpoints
Experience with Entity Framework migration or deprecation projects
Knowledge of HIPAA compliance requirements in cloud data architecture
Experience with healthcare payer/PBM systems, clearinghouses, or pharmacy operations
AWS certification is a bonus

Dice Id: 10111346
Position Id: 2616243
Posted 30+ days ago

Company Info

About SAIC

Sr Systems Engineer- Production Support

Remote

•

Today

Job ID: 2617056 Location: Remote Work, TX, US Date Posted: 2026-09-21 Category: Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: None Clearance Level Must Be Able to Obtain: Public Trust Potential for Remote Work: ORA_REMOTE Description SAIC is searching for a Systems Engineer who performs high-level, day-to-day operational support of complex application cloud systems to join our VA team. Develops solutions

Full-time

USD 80,001.00 - 120,000.00 per year

Sr. Systems Engineer (AWS Data Engineer)

Skills

Summary

About SAIC

Dice Job Match Score™

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