Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Senior Systems Engineer (AWS Data Engineer)
Remote Work, TX, United States
Actively hiring, first seen by us 6 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Remote — work setting source
Listed location: Remote Work, TX, United States
Read the full posting- Employment
- Not stated
Before you apply
- Work authorization
- US citizens only
US Citizenship required with the ability to obtain and maintain a Public Trust clearance
What you’ll work on
Full postingEvaluate and recommend AWS data storage and query architecture for XML object store data
Design and build a SQL reporting and query layer for business users
Architect the migration of XML object store data from MSSQL to AWS
Build and maintain the AWS data catalog, schemas, and metadata
Optimize query performance and cost across chosen AWS services
From the employer’s posting
Evaluate and recommend the optimal AWS-native data storage and query architecture for our XML object store data
Design and build the reporting and query layer that allows business stakeholders and non-technical users to run relational SQL queries against healthcare data
Architect the migration path for XML object store data from MSSQL into the target AWS platform
Build and maintain AWS data catalog, schemas, and metadata management
Optimize query performance and cost across chosen AWS services
What you’ll bring
All qualificationsCore experience
- Bachelor's or Master's degree in computer science, Engineering, or a related technical discipline required; equivalent practical experience considered
- Proven experience architecting and executing cloud data platform migrations in production enterprise or healthcare environments
- Strong SQL skills — ability to design relational query layers over semi-structured or non-relational data (XML, JSON)
- Strong ability to communicate technical architecture decisions and trade-offs to non-technical stakeholders
- Experience with healthcare data formats — X12 EDI (837, 835, 277CA), HL7, FHIR
- Experience delivering reporting or analytics solutions that serve non-technical business users
Qualification wording
Bachelor's or Master's degree in computer science, Engineering, or a related technical discipline required; equivalent practical experience considered
Proven experience architecting and executing cloud data platform migrations in production enterprise or healthcare environments
Strong SQL skills — ability to design relational query layers over semi-structured or non-relational data (XML, JSON)
Strong ability to communicate technical architecture decisions and trade-offs to non-technical stakeholders
Experience with healthcare data formats — X12 EDI (837, 835, 277CA), HL7, FHIR
Experience delivering reporting or analytics solutions that serve non-technical business users
Education & alternatives
Education - Bachelor's or Master's degree in computer science, Engineering, or a related technical discipline required; equivalent practical experience considered Experience
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 20266 days ago
- Recorded sightings
- 10
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Aug 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 6
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
Science Applications Intl is hiring
28 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 4% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C#
- SQL
- AWS
- DynamoDB
- Redshift
- S3
- Terraform
Where the posting names them
- 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)
- 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
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
- 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
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
- 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
- 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
- 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
- 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
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
- 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
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
- 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
- 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)
- Familiarity with CI/CD practices and AWS-native tooling (CodePipeline, CodeBuild, CodeDeploy) - Infrastructure as code experience (AWS CDK, CloudFormation, or Terraform) Process & Soft Skills
- Experience with healthcare payer/PBM systems, clearinghouses, or pharmacy operations - AWS certification is a bonus Clearance Requirement: US Citizenship required with the ability to obtain and maintain a Public Trust clearance
Your next step
Complete your application on eihu.fa.us8.oraclecloud.com. The employer’s form will show what is required.
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Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job 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
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: US Citizenship required with the ability to obtain and maintain a Public Trust clearance
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Remote Work, TX, United States
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
- Work authorization
- AWS certification is a bonus Clearance Requirement: US Citizenship required with the ability to obtain and maintain a Public Trust clearance