Full-Stack Platform Engineer
Edgewaterit
- Location
- Remote
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 105,000–118,000/yr
Posted 1mo ago
Overview
Overview of the Role
Edgewater Federal Solutions is seeking an experienced Full-Stack Platform Engineer to build, secure, and evolve a production-grade enterprise data analytics platform supporting a federal agency. The platform supports large-scale data ingestion, validation, transformation, and analytical review across multiple statistical programs. This hands-on role spans React UIs, cloud infrastructure, AI integration, and compliance-driven security controls. The ideal candidate is security-first, shift-left in mindset, builds for end-users, and treats compliance as built-in — not bolted on.
This is a 100% remote position.
Responsibilities
Responsibilities
Include, but are not limited to the following
Develop and maintain React-based UIs
dashboards, data review interfaces, maps, and visualization components.
Build backend services using Node.js/Express and Python (Flask/FastAPI) API services.
Design advanced SQL queries and create scalable Python data pipelines using pandas, NumPy, and PySpark.
Implement data validation rules, edit checks, imputation tracking, and data quality indicators.
Integrate AI/ML capabilities including LLM APIs (Claude, OpenAI), prompt engineering, RAG patterns, anomaly detection, and predictive modeling.
Create and maintain CI/CD pipelines (GitLab, GitHub) with integrated security scanning (SAST, DAST, SCA), container security, and policy-as-code.
Manage containerized deployments (Docker, Kubernetes) with image signing and runtime protection.
Strengthen platform security through authentication, secrets management, encryption, threat modeling, and vulnerability remediation.
Deploy and support applications on AWS, manage ETL/ELT pipelines, and optimize performance, reliability, and cost.
Maintain compliance with FISMA, NIST 800-53, CIPSEA, and FedRAMP-related controls and documentation.
Collaborate with analysts, technical leads, PMs, and stakeholders to deliver iterative features and support user testing.
Qualifications
US Citizenship Required
Must be able to obtain and maintain a Public Trust
Frontend
3+ years with React, ES6+, state management, and data visualization tools such as Chart.js, Recharts, or D3.js.
Backend
3+ years with Node.js/Express or Python (Flask/FastAPI), advanced SQL, RESTful APIs, JWT/RBAC, and OWASP Top 10 practices.
AI / ML
Experience with LLM API integration, prompt engineering, RAG, and machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow.
DevSecOps
CI/CD with GitLab CI or GitHub Actions, SAST/DAST/SCA tooling, container security, and artifact signing.
Cloud
AWS, Terraform, VPC, IAM, WAF, CSPM, and SIEM integration.
Data
ETL/ELT pipelines, Databricks or equivalent, pandas, PySpark, and data quality validation on large datasets.
Configuration
YAML-based business rules, schema validation, integrity verification, and hot-reload support.
Compliance
Familiarity with FISMA, NIST 800-53, FedRAMP, SSP/SAR/POA&M, audit logging, and privacy requirements.
Preferred Qualifications
Security
CISSP, CEH, CompTIA Security+, GSEC, CDP
Cloud
AWS Certified Security — Specialty
DevOps
CKA, CKS, Docker Certified Associate
Data
Databricks Certified Data Engineer, PCAP / PCPP
Compliance
CRISC, CISM
Salary
$105,000.00 - $118,000.00
Additional benefits include
Paid Time Off & Holiday Pay
Medical Insurance
Dental Insurance
Vision Insurance
Disability, Life Insurance, and AD&D
Flexible Spending Accounts
Pre-Tax 401K and/or After-Tax Roth IRA (with employer matching contribution)
Tuition and Technical Training Reimbursement
Wellness Benefit
Tech Reimbursement
Employee Assistance Program
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee may be regularly required to stand, sit, talk, hear, reach, stoop, kneel, and use hands and fingers to operate a computer, telephone, keyboard, and standard office equipment
Specific vision abilities required by this job include close vision requirements due to computer work
The employee must occasionally lift and/or move up to 15 pounds
Fine hand manipulation (keyboarding)
Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Exposure to general office conditions while conducting office duties
Moderate noise (i.e., business office with computers, phone, and printers, light traffic)
Ability to work in a confined area
Ability to sit at a computer terminal for an extended period
Working at Edgewater Federal Solutions
Edgewater Federal Solutions is a privately held government contracting firm located in Frederick, MD. The company was founded in 2002 with the vision of being highly recognized and admired for supporting customer missions through employee empowerment, exceptional services, and timely delivery. Edgewater Federal Solutions is ISO 9001, 20000-1, 270001 certified, appraised at CMMI Level 3 Maturity for Development and Services, and has been named in the Top Workplaces in the Greater Washington Area Small Companies since 2018.
Edgewater Federal Solutions is an Equal Opportunity Employer. It has been and continues to be our policy to provide equal employment to all employees and applicants for employment without regard to race, color, religion, gender, national origin, age, disability, marital status, veteran status and/or other status protected by applicable law. #LI-HH1
Skills
- React
- Node.js
- Express
- Python
- Flask
- FastAPI
- SQL
- pandas
- NumPy
- PySpark
- GitLab
- GitHub
- Docker
- Kubernetes
- AWS
- Terraform
- Chart.js
- Recharts
- D3.js
- JWT
- RBAC
- LLM APIs
- OpenAI
- Claude
- scikit-learn
- PyTorch
- TensorFlow
- GitLab CI
- GitHub Actions
- SAST
- DAST
- SCA
- VPC
- IAM
- WAF
- CSPM
- SIEM
- Databricks
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