Senior Systems Engineer/AWS Data Engineer

Remote • Posted 3 hours ago • Updated 3 hours ago
Full Time
Remote
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Job Details

Skills

  • Data Storage
  • Scalability
  • Storage
  • Meta-data Management
  • Data Compression
  • File Formats
  • Collaboration
  • Data Flow
  • 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
  • Security Clearance
  • ASC X12
  • Electronic Data Interchange
  • HL7
  • C#
  • .NET
  • Entity Framework
  • Migration
  • HIPAA
  • Cloud Computing
  • Data Architecture
  • Health Care
  • Pharmacy
  • Computer Science
  • Data Engineering
  • Amazon Web Services
  • FOCUS
  • DICE
  • Law

Summary

Senior Systems Engineer/AWS Data Engineer

Location: Remote

Description:

Seeking a motivated, career and customer-oriented Sr. Systems Engineer/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 Responsibilities:

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

Required Skills and Experience:

Proven experience in 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

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


Must be able to obtain and maintain a Public Trust clearance

Desired Skills and Experience:

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

Required Education and Experience:

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

Minimum of 8 years of experience in software or data engineering with a strong AWS focus

#dice

#CJ

About HigherEchelon, Inc.

HigherEchelon, Inc. (HE) is a service-disabled veteran-owned small business (SDVOSB) with offerings in Engineering, Gaming, Human Capital, Enterprise Technology and Cyber Solutions. HigherEchelon aims to be the premier trusted partner in organizational excellence and achieves this through sustained investment in talent and the employee experience. HigherEchelon puts the employee first to better serve customer needs and sustain excellence.

HigherEchelon offers competitive full-time benefits including paid vacation and holidays, 401(k) matching, full health/dental/vision coverage, plus much more. For on-site and remote employees, flexible work schedules are offered when authorized.

By joining our team, you are choosing to embark on a journey towards excellence as a valued team member and trusted partner. We appreciate your inquiry and look forward to discussing the opportunity further.

EOE/Minorities/Females/Veterans/Disabled:

HigherEchelon, Inc. is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law. HigherEchelon, Inc. participates in E-Verify.
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: 90832636
  • Position Id: 006Qr00000ikP74IAE
  • Posted 3 hours ago

Company Info

About HigherEchelon

Today's rapidly changing world requires resilient and adaptive leaders armed with efficient processes and modern technology to be effective. As trusted partners in organizational excellence, HE invests in people, processes, and technology to drive organizational performance to a higher level. Founded on performance psychology and coupled with human capital, and technological service offerings, we work with organizations to address the most complex and ambiguous challenges. HE's competitive edge resides in our ability to bring these three domains together to maximize human and organizational excellence.
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