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# Data Engineers and Data Architects

- **Company:** Solerity
- **Location:** Quantico, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Engineering, Code Review, Databases, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Machine Learning, Operational Databases, Software Engineering, Software Quality Assurance (SQA), SQL Databases, Google Cloud, Enterprise Software Applications, Cloud Platform System, Software Troubleshooting, Backend, Git, Kubernetes, Infrastructure Automation Frameworks, Data Management, Software Coding, Data Pipelines, Devsecops, Docker
- **Published:** July 20, 2026
- **Apply:** https://recruiting.paylocity.com/Recruiting/Jobs/Apply/4345554

## About the Role

* Active Top Secret Security Clearance
 * Ability to obtain and maintain access required for the program.
 * Mid to Senior level experience in one or more of the following:
 + Data Architecture
 + Data Engineering
 + Data Science
 + Backend Software Engineering
 + Cloud Engineering
 + Software Quality Assurance
 * Experience designing and implementing enterprise data solutions.
 * Experience developing scalable ETL/ELT pipelines and data processing workflows.
 * Experience working within cloud environments such as AWS, Azure, or Google Cloud.
 * Experience developing backend applications, services, or APIs.
 * Experience with SQL and modern database technologies.
 * Experience using Git and CI/CD pipelines.
 * Strong troubleshooting, analytical, and problem-solving skills.
 * Excellent written and verbal communication skills.
 * Ability to collaborate with technical teams and Government customers in an Agile environment., * Experience supporting Department of Defense or Federal Government programs.
 * Experience working with Controlled Unclassified Information (CUI).
 * Experience supporting DoD Impact Level 5 (IL5) cloud environments.
 * Experience generating synthetic datasets for testing, development, or analytics.
 * Experience with Docker, Kubernetes, and Infrastructure as Code.
 * Experience supporting cloud-native architectures and DevSecOps practices.
 * Familiarity with machine learning, analytics, or AI-enabled data platforms.

## Description

* Design and implement scalable data architectures supporting enterprise applications.
 * Develop and maintain data ingestion, transformation, and processing pipelines.
 * Engineer secure cloud-native data solutions within an IL5 environment.
 * Develop backend services and APIs that support modern data platforms.
 * Support data science initiatives through preparation, transformation, and validation of datasets.
 * Generate synthetic, representative datasets using Government-provided schemas and statistical profiles when production data is unavailable.
 * Collaborate with QA engineers to validate data quality, functionality, and system performance.
 * Participate in software design, code reviews, testing, and technical documentation.
 * Work directly with Government stakeholders and technical teams to gather requirements and deliver mission-focused solutions.
 * Ensure compliance with security requirements, coding standards, and Agile development best practices.


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