Data Engineer
Harmonia Holdings Group, LLC
- Virginia, Minnesota, United States
- Virginia, Minnesota, United States
Über
Remote Terms:
Full-time Clearance:
Ability to obtain and maintain a Public Trust is required Travel:
%
Project Description This position supports Revolutional's customer, the Department of Veterans Affairs (VA), as part of the Cybersecurity Transformation Program (CTP). The program is modernizing cybersecurity capabilities through data-driven platforms, cloud infrastructure, and integrated analytics pipelines. A key focus is enabling secure, scalable data infrastructure that supports cyber risk awareness, assessment, and response. The core challenge is building and maintaining reliable data pipelines and systems that support real‑time security insights while ensuring data quality, integrity, and protection.
Position Description As a Data Engineer at Revolutional, you will operate as a hands‑on developer responsible for building, maintaining, and optimizing data pipelines and data services that support cybersecurity operations. This individual‑contributor role requires writing code, developing pipelines, integrating APIs, and troubleshooting data systems daily across cloud environments and security‑focused data platforms to ensure data is accurate, reliable, and usable for downstream analytics and risk management. You are expected to go beyond basic data movement while owning data quality, pipeline reliability, and secure data handling in a production environment.
Responsibilities
Design, develop, and maintain ETL/ELT pipelines for secure data ingestion, transformation, and reporting
Build and manage REST APIs and data ingestion services across systems
Write production‑grade code using Python and/or SQL to support data processing and automation
Implement data validation, monitoring, and alerting to ensure data quality and reliability
Identify and resolve schema changes, data inconsistencies, and pipeline failures
Work with structured and unstructured data across multiple sources
Leverage cloud platforms (AWS, Azure) for storage, compute, and data services
Deploy and manage data workloads in containerized environments (Docker, Kubernetes)
Support integration of data pipelines into broader DevSecOps and automation workflows
Contribute to security‑focused data initiatives, including data protection and risk analysis support
Collaborate with engineering and security teams to support operational and analytical use cases
Technical Environment
Cloud platforms (AWS, Azure)
Containerized environments (Docker, Kubernetes)
ETL/ELT pipelines and orchestration frameworks
REST APIs and data ingestion services
Data validation, monitoring, and alerting tools
Cybersecurity data platforms and analytics environments
DevSecOps and automation‑driven delivery pipelines
Baseline Requirements
Bachelor’s degree (or equivalent experience)
3–7+ years of experience in data engineering or related hands‑on development roles
Ability to obtain and maintain a Public Trust clearance
Technical Capabilities
Strong programming skills in Python and/or SQL
Experience building and maintaining ETL/ELT pipelines
Experience developing and managing REST APIs and data ingestion processes
Experience designing data models, schemas, and lifecycle management approaches
Experience working with cloud platforms (AWS, Azure)
Experience with containerization technologies (Docker, Kubernetes)
Experience implementing data quality frameworks (validation, monitoring, alerting)
Core Strengths
Strong ownership mindset for pipeline reliability and data quality
Hands‑on problem solver who can debug and fix issues independently
Ability to work in fast‑moving environments with evolving requirements
Strong attention to detail in data accuracy and validation
Effective collaboration with engineering and security teams
Nice to Have (Differentiators)
Experience supporting Department of Veterans Affairs or similar federal programs
Experience working with cybersecurity data or risk analytics platforms
Exposure to AI/ML‑enabled data workflows or automation use cases
Experience with streaming or near‑real‑time data pipelines
Experience working in DevSecOps or Agile environments
Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact HR@revolutional.com.
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Sprachkenntnisse
- English
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