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Remote Das Rf Engineer Jobs in Chantilly, VA (NOW HIRING)

Umbra

Senior Radar Systems Engineer

Arlington, VA · Remote

Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms ... MTI, Passive RF, and SAR. * Write production quality software with unit and integration testing.

Umbra

Senior Radar Systems Engineer

Reston, VA · Remote

Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms ... MTI, Passive RF, and SAR. * Write production quality software with unit and integration testing.

LMI

Applied Mission Engineer

Washington, DC · On-site +1

This position requires 20% travel that may entail remote and rugged areas. The Applied Engineer ... RF detection and mitigation systems, radar tracking, EO/IR cueing sensors, and kinetic or non ...

TalentRemedy

Ground Station Lead

Herndon, VA · Remote

... timing RF remote monitoring, Strong systems thinking across interfaces, mission operations workflows, and service reliability engineering. Ability to operate autonomously in a fast-paced startup ...

Helsing

Software Engineer, Rust

Washington, DC · On-site +1

Experience with RF communications, telemetry, or datalink systems * Background in defense or ... remote and/or hybrid work available depending on position. All compensation and benefits are ...

SpaceX

Technical Satellite Policy Analyst

Washington, DC · On-site +1

$85K - $100K/yr

Our customers currently include teachers in the most remote parts of the Amazon, researchers in ... As SpaceX acquires new radio frequency (RF) spectrum, identify where enabling service requires us ...

SAIC

Riverbed Modeler

Washington, DC · On-site +1

$120K - $160K/yr

Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel: Yes - 25% of the time Minimum ... TS/SCI Potential for Remote Work: ORA_HYBRID Description We are seeking a Subject Matter Expert ...

SAIC

Riverbed Modeler

Arlington, VA · On-site +1

$120K - $160K/yr

Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel: Yes - 25% of the time Minimum ... TS/SCI Potential for Remote Work: ORA_HYBRID Description We are seeking a Subject Matter Expert ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

Data Architecture & Engineering * Design and maintain enterprise data architectures supporting C ... FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ...

HawkEye 360

Account Executive, Space Force

Herndon, VA · Remote

Collaborate across company functions-including finance, legal, engineering, and product development ... Basic understanding of RF technologies, data, and potential applications in government and ...

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Showing results 21-40

All JobsDas Rf Engineer JobsRemote Das Rf Engineer JobsRemote Das Rf Engineer Jobs in Chantilly, VA

Remote Das Rf Engineer information

See Chantilly, VA salary details

$37.9K

$120.5K

$187.4K

How much do remote das rf engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote das rf engineer in Chantilly, VA is $120,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $142,300.00 per year, depending on experience, location, and employer.

What does a Remote DAS RF engineer do?

A Remote DAS RF Engineer is responsible for designing, implementing, and optimizing Distributed Antenna Systems (DAS) to enhance wireless coverage in buildings and other structures. They focus on radio frequency (RF) engineering tasks, such as signal testing, troubleshooting, and system integration, often working remotely to support multiple locations. These engineers collaborate with project managers, field technicians, and clients to ensure seamless wireless connectivity and compliance with industry standards. Their work helps improve mobile signal quality in areas where traditional coverage is weak or unavailable.

What are the key skills and qualifications needed to thrive as a Remote DAS RF engineer?

To thrive as a Remote DAS RF Engineer, you need a strong background in wireless communications, RF engineering principles, and experience with Distributed Antenna Systems (DAS), often supported by a degree in electrical engineering or a related field. Familiarity with RF design tools (such as iBwave, Atoll, or DAS OEM software), network analyzers, and relevant certifications like iBwave Level 1 or 2 is typically required. Excellent problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These skills ensure reliable wireless coverage, efficient troubleshooting, and seamless coordination with clients and team members from remote locations.

What are some common challenges faced by Remote DAS RF engineers, and how can they be addressed?

Remote DAS RF Engineers often encounter challenges such as troubleshooting signal issues without being physically present on-site and coordinating with on-site teams or vendors. Effective communication skills and the ability to interpret remote monitoring data are essential for diagnosing and resolving issues efficiently. Utilizing advanced network management tools and maintaining organized documentation can help streamline remote collaboration and problem resolution. Regular virtual meetings and clear reporting structures also support smooth workflows in a distributed team environment.

What is the difference between Remote Das Rf Engineer vs Remote Rf Engineer?

AspectRemote Das Rf EngineerRemote Rf Engineer
CertificationsFCC, CE, or industry-specific RF certificationsFCC, CE, or industry-specific RF certifications
Work EnvironmentDesigning and testing Distributed Antenna Systems (DAS) in various locationsDesigning, testing, and troubleshooting RF systems, including cellular and wireless networks
Industry UsageTelecommunications, cellular networks, public safety networksTelecommunications, wireless service providers, network infrastructure

The Remote Das Rf Engineer specializes in designing and deploying Distributed Antenna Systems (DAS) for improved wireless coverage, often working on large-scale infrastructure projects. The Remote Rf Engineer has a broader focus on RF systems, including cellular and wireless network testing and troubleshooting. Both roles require similar certifications and industry knowledge but differ in their specific applications and project types.

What are the most commonly searched types of Das Rf Engineer jobs in Chantilly, VA?

The most popular types of Das Rf Engineer jobs in Chantilly, VA are:

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For Remote Das Rf Engineer jobs in Chantilly, VA, the most frequently searched job titles are:

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Cities near Chantilly, VA with the most Remote Das Rf Engineer job openings:

Remote Das Rf Engineer jobs near you
Infographic showing various Remote Das Rf Engineer job openings in Chantilly, VA as of September 2026, with employment types broken down into 1% Internship, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $120,481 per year, or $57.9 per hour.

Senior Data Scientist - Artificial Intelligence

Washington, DC • On-site, Remote

Diverse Agile Solutions
See more jobs at Diverse Agile Solutionsexternal

$75 - $80/hr

Full-time

Re-posted 3 days ago

Job description

Senior Data Scientist (Artificial Intelligence)Federal Reserve Board - Division of Consumer and Community Affairs (DCCA)

Company: Diverse Agile Solutions (DAS)

Location: Washington, DC (Hybrid Preferred) | Remote Considered

Job Type: Full-Time Consultant

Clearance/Work Authorization: U.S. Citizenship Required

About Diverse Agile Solutions

Diverse Agile Solutions (DAS) is a certified Minority Business Enterprise (MBE) specializing in delivering innovative technology solutions and highly skilled IT professionals to federal, state, and commercial organizations. Our expertise spans Artificial Intelligence, Cloud Engineering, Data Analytics, Agile Transformation, DevSecOps, Cybersecurity, Enterprise Architecture, and Digital Modernization.

At DAS, we help organizations solve complex business challenges through emerging technologies while fostering innovation, collaboration, and continuous learning.

Position Overview

Diverse Agile Solutions is seeking a Senior Data Scientist (Artificial Intelligence) to support the Federal Reserve Board's Division of Consumer and Community Affairs (DCCA) as part of its newly established AI Lab.

This is an exciting opportunity to help build next-generation Artificial Intelligence capabilities that improve consumer protection, regulatory oversight, community development, and operational efficiency through Generative AI and Machine Learning.

The ideal candidate is a full-stack AI practitioner capable of owning the complete AI lifecycle-from research and experimentation to application development, deployment, monitoring, and production support. You will work closely with economists, attorneys, analysts, and senior leadership to design intelligent solutions that deliver measurable business value.

What You'll DoArtificial Intelligence & Machine Learning Development
  • Research, design, and develop innovative AI and Machine Learning solutions supporting DCCA initiatives
  • Build proof-of-concept AI applications and transition successful prototypes into production
  • Develop Generative AI solutions using Large Language Models (LLMs)
  • Design Retrieval-Augmented Generation (RAG) architectures
  • Implement prompt engineering strategies for enterprise AI applications
  • Fine-tune and evaluate foundation models for domain-specific use cases
  • Develop NLP solutions including:
    • Text classification
    • Named Entity Recognition (NER)
    • Information extraction
    • Document summarization
    • Semantic search
  • Apply supervised, unsupervised, deep learning, and statistical modeling techniques
  • Evaluate emerging AI frameworks and technologies for enterprise adoption
Full-Stack AI Application Development
  • Build production-ready AI applications using:
    • Python
    • Streamlit
    • Dash
    • Flask
    • R Shiny
  • Develop intuitive dashboards and visual analytics applications
  • Create interactive data visualizations using:
    • Plotly
    • Matplotlib
    • Seaborn
    • Tableau
    • Power BI
  • Translate complex analytical findings into actionable business insights
Deployment & MLOps
  • Deploy AI and ML applications into cloud environments
  • Containerize applications using Docker
  • Build CI/CD pipelines for AI deployments
  • Implement model monitoring and observability
  • Create automated retraining pipelines
  • Manage model versioning and lifecycle management
  • Optimize API integrations and AI inference costs
  • Troubleshoot and maintain production AI applications
  • Collaborate with Cloud Engineers and Infrastructure teams
Agile Collaboration
  • Participate in Agile ceremonies including:
    • Sprint Planning
    • Daily Standups
    • Sprint Reviews
    • Retrospectives
  • Partner with business stakeholders to identify AI opportunities
  • Translate business requirements into scalable AI solutions
  • Present findings to executive leadership and technical teams
  • Document code, methodologies, and technical decisions
  • Mentor team members and contribute to the growth of DCCA's AI practice
Governance & Responsible AI
  • Develop AI solutions aligned with federal security and governance standards
  • Support FISMA, Privacy Impact Assessments, and ATO documentation
  • Apply Responsible AI principles including:
    • Fairness
    • Bias detection
    • Explainability
    • Transparency
  • Collaborate with security and compliance teams throughout the AI lifecycle
Required Qualifications
  • U.S. Citizenship
  • Bachelor's degree in Computer Science, Data Science, Statistics, Machine Learning, or a related field
    • Master's degree preferred
  • Minimum 6 years of professional experience developing, deploying, and maintaining AI/ML applications
  • Expert proficiency with Python or R
  • Experience building production AI applications
  • Experience deploying Machine Learning solutions into cloud environments
  • Strong knowledge of:
    • Machine Learning
    • Deep Learning
    • Natural Language Processing
    • Generative AI
  • Experience with:
    • Scikit-learn
    • spaCy
    • XGBoost
  • Experience developing interactive applications using:
    • Streamlit
    • Dash
    • Flask
    • R Shiny
  • Experience creating dashboards and visualizations using:
    • Tableau
    • Power BI
    • Plotly
    • Matplotlib
    • Seaborn
  • Experience with containerization and CI/CD
  • Strong statistical modeling and analytical skills
  • Excellent written and verbal communication skills
  • Ability to independently deliver solutions from concept through production
Preferred Qualifications

Candidates with experience in one or more of the following are highly encouraged to apply:

  • Federal Government or Regulatory Agency experience
  • Financial Services or Banking
  • Consumer Finance
  • Banking Supervision
  • Agile methodologies (Scrum, Kanban)
  • Jira or Azure DevOps
  • Large Language Models (GPT, Llama, Nova)
  • LangChain
  • LlamaIndex
  • Prompt Engineering
  • Vector Databases
  • Semantic Search
  • AWS AI Services including:
    • Amazon Bedrock
    • SageMaker
    • Comprehend
    • Rekognition
    • Transcribe
  • AWS deployment services:
    • EC2
    • ECS
    • Lambda
    • S3
    • CloudWatch
  • Databricks
  • Infrastructure as Code:
    • Terraform
    • CloudFormation
  • MLOps
  • Model Monitoring
  • Automated Retraining
  • Responsible AI
  • AI Explainability
  • Multi-modal AI
  • AWS Certifications
  • Experience handling regulated or sensitive data
Technical Skills

Programming Languages

  • Python
  • R
  • SQL

AI / Machine Learning

  • Generative AI
  • Large Language Models (LLMs)
  • Machine Learning
  • Deep Learning
  • NLP
  • RAG
  • Prompt Engineering
  • Semantic Search
  • Fine-Tuning

Frameworks & Libraries

  • Scikit-learn
  • spaCy
  • XGBoost
  • LangChain
  • LlamaIndex
  • Streamlit
  • Dash
  • Flask
  • R Shiny

Cloud & DevOps

  • AWS
  • Docker
  • Kubernetes
  • CI/CD
  • Git
  • Terraform
  • CloudFormation

Visualization

  • Tableau
  • Power BI
  • Plotly
  • Matplotlib
  • Seaborn
  • ggplot2
Why Join Diverse Agile Solutions?

At DAS, you'll work alongside some of the industry's brightest technology professionals on innovative federal initiatives that leverage Artificial Intelligence to solve meaningful business challenges.

We offer:

  • Competitive compensation
  • Exciting federal technology programs
  • Opportunities to work with cutting-edge AI technologies
  • Collaborative and innovative culture
  • Professional development and certification support
  • Exposure to enterprise-scale cloud and AI platforms
  • Opportunity to help shape the future of AI in the federal government
Work Environment
  • Full-time consulting position
  • Hybrid work environment (Washington, DC)
  • Remote work may be considered
  • Agile, collaborative AI Lab
  • Fast-paced innovation environment focused on research and rapid prototyping
Equal Employment Opportunity

Diverse Agile Solutions is an Equal Opportunity Employer committed to building a diverse and inclusive workforce. We consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable federal, state, or local law.

Apply Today

If you're passionate about Artificial Intelligence, Machine Learning, and building production-ready AI solutions that make a real impact, we'd love to hear from you.

Join Diverse Agile Solutions and help shape the future of AI innovation within the Federal Reserve Board.

Employment Type: FULL_TIME

Apply