SAIC

Technology integrator delivering defense IT solutions

Senior Systems Engineer - AWS Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeTexas, USANo salary listed

About the Job

Requirements

A bachelor's or master's degree in computer science, engineering, or a related technical discipline is required; equivalent practical experience is considered.
At least 8 years of software or data engineering experience with a strong AWS focus.
Experience architecting and executing cloud data platform migrations in production enterprise or healthcare environments.
Experience evaluating and selecting AWS data services for business reporting and query requirements.
Experience delivering reporting or analytics solutions for non-technical business users.
Deep hands-on experience with AWS data-oriented services, including S3, Athena, Glue, Aurora, DynamoDB, Redshift, OpenSearch, Lambda, IAM, and CloudWatch.
Strong SQL skills, including designing relational query layers over semi-structured or non-relational data such as XML and JSON.
Experience parsing, querying, and transforming XML-heavy data stores at scale.
Ability to evaluate trade-offs across AWS data services and recommend architectures based on cost, performance, and business requirements.
Familiarity with AWS analytics and reporting services such as Athena, QuickSight, and Redshift, or equivalent business intelligence tooling.
Proficiency with Git and GitHub, including branching strategies, pull requests, and collaborative workflows.
Familiarity with CI/CD practices and AWS-native tools such as CodePipeline, CodeBuild, and CodeDeploy.
Infrastructure-as-code experience with AWS CDK, CloudFormation, or Terraform.
Ability to communicate technical architecture decisions and trade-offs to non-technical stakeholders.
Experience gathering business reporting requirements and translating them into technical data models.
Ability to resolve ambiguous architecture decisions with limited direction.
Experience with Agile methodologies, including Scrum or Kanban, and JIRA.
Ability to produce architecture diagrams, data dictionaries, and migration runbooks.
U.S. citizenship and ability to obtain and maintain a Public Trust clearance.

Responsibilities

Evaluate and recommend an AWS-native data storage and query architecture for XML object-store data, assessing options such as S3 with Athena, Aurora, DynamoDB, Redshift, and OpenSearch against query patterns, reporting needs, cost, and scalability.
Design and build a reporting and query layer that enables business stakeholders and non-technical users to run relational SQL queries against healthcare data using familiar tools.
Architect the migration of XML object-store data from MSSQL into the target AWS platform, defining storage formats, partitioning strategies, and data organization for query performance.
Build and maintain AWS data catalogs, schemas, and metadata management so object-store data is discoverable and queryable by business users.
Optimize query performance and cost across AWS services through partitioning, compression, file formats, and query-pattern tuning.
Work 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 tools such as CodePipeline, CodeBuild, and CodeDeploy.
Apply infrastructure-as-code practices using AWS CDK, CloudFormation, or Terraform.
Document architecture decisions, data flows, and data dictionaries for technical and non-technical audiences.

Desired Qualifications

Experience with healthcare data formats, including X12 EDI (837, 835, 277CA), HL7, or 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.

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

About the Company

SAIC

Technology integrator delivering defense IT solutions

SAIC is a technology integrator that supports the U.S. government with engineering and IT services for defense, space, and intelligence missions. Its offerings include integrating complex systems, software, data analytics, cybersecurity, and digital engineering to help national security programs run smoothly. The company operates by combining technical expertise with large-scale government contracts, delivering end-to-end solutions from planning and development to deployment and support. Unlike many firms that focus on a single product, SAIC differentiates itself through a long history of government work, its origins as an employee-owned company, and its growth through strategic acquisitions to broaden capabilities in digital engineering, mission IT, and related services. SAIC’s goal is to enable national defense and intelligence operations by providing the technology and services needed to design, build, and maintain critical systems at scale.

Company size: 10,001+
Company stage: IPO
Headquarters: Reston, VA
Founded: 1969

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