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Disaster Relief Engineering Jobs in Virginia (NOW HIRING)

GTI Fabrication

Contract Electricians

Roanoke, VA

$26.70 - $55/hr

Our scope spans Engineering, prototype builds, through full production, requiring teams that can ... We serve multiple industries, including DOD contractors, military, disaster relief, and commercial ...

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Disaster Relief Engineering information

What are the key skills and qualifications needed to thrive in the Disaster Relief Engineering position, and why are they important?

To succeed in Disaster Relief Engineering, you need a solid background in civil or environmental engineering, rapid problem-solving abilities, and a relevant degree or certification. Familiarity with GIS mapping software, emergency response frameworks, and field assessment tools such as drones or portable water testing kits is commonly required. Strong teamwork, adaptability, and cross-cultural communication skills are crucial for coordinating with diverse teams under high-stress conditions. These competencies enable quick and effective infrastructure solutions in disaster zones, ensuring the safety and well-being of affected communities.

What is a Disaster Relief Engineering job?

A Disaster Relief Engineering job involves designing and implementing engineering solutions to assist communities affected by natural or man-made disasters. This can include rebuilding infrastructure, ensuring access to clean water, and creating temporary shelters. Engineers in this field work closely with aid organizations, government agencies, and local communities to provide rapid and effective relief. Their goal is to enhance disaster resilience and help affected regions recover efficiently.

How much do FEMA engineers make?

FEMA engineers typically earn between $70,000 and $110,000 annually, depending on experience, location, and level of responsibility. They often require relevant engineering skills, certifications, and the ability to work in emergency response environments.

What types of projects do Disaster Relief Engineers typically work on during deployments?

Disaster Relief Engineers are involved in a wide variety of projects dependent on the nature of the emergency, such as restoring critical infrastructure (roads, bridges, water systems), providing temporary shelters, and helping to reestablish utility services. Work can range from rapid structural assessments and logistics planning to hands-on construction or coordination with humanitarian organizations on the ground. Day-to-day tasks may involve site evaluations, resource allocation, and collaborating closely with other engineers, emergency responders, and local authorities. The dynamic and urgent nature of disaster environments often requires engineers to adapt quickly and prioritize tasks that have immediate, life-saving impacts.

What engineers make $500,000 a year?

In the field of disaster relief engineering, earning $500,000 annually is uncommon and typically requires senior-level positions, extensive experience, specialized skills, or leadership roles in large organizations. Such high salaries are more often seen in executive or consulting roles rather than standard engineering positions. Most disaster relief engineers earn significantly less, with top earners reaching high six-figure salaries through advanced expertise and management responsibilities.

What engineers make $200,000 a year?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $200,000 or more annually, especially with extensive experience, advanced skills, and often in leadership roles. High salaries are typically associated with industries requiring advanced technical expertise, certifications, and sometimes working in high-cost-of-living areas or on complex projects.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding managerial positions, or possessing rare technical expertise and certifications.
What are popular job titles related to Disaster Relief Engineering jobs in Virginia? For Disaster Relief Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Disaster Relief Engineering jobs in Virginia look for? The top searched job categories for Disaster Relief Engineering jobs in Virginia are:
Disaster Relief Engineering jobs near you
Technical Analytics Manager / Lead Data Scientist (Fraud Analytics & Investigative Support)

Technical Analytics Manager / Lead Data Scientist (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

Full-time

Retirement, PTO

Posted 22 days ago

Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
Position Overview
Praescient Analytics is seeking a highly skilled Technical Analytics Manager / Lead Data Scientist to provide technical leadership for a federal fraud analytics and investigative support program. This individual will serve as the technical authority responsible for designing innovative analytic approaches, developing advanced fraud detection models, leading model validation and quality assurance activities, and ensuring the successful delivery of reliable, defensible, and repeatable analytic solutions supporting federal oversight organizations.
The ideal candidate is a hands-on technical leader who combines deep data science expertise with strong leadership skills. They will guide multidisciplinary technical teams through the full analytics lifecycle, from ideation and data exploration to model development, testing, deployment, and continuous improvement, while mentoring technical staff and collaborating closely with Government stakeholders, investigators, and program leadership.
Key Responsibilities
  • Lead the design, development, testing, validation, deployment, and continuous improvement of advanced fraud detection and investigative analytics solutions.
  • Develop innovative analytic approaches to identify fraud, waste, abuse, and mismanagement across large-scale federal benefit programs.
  • Design and implement analytic rules, machine learning models, artificial intelligence (AI) solutions, natural language processing (NLP), anomaly detection, entity resolution, graph analytics, link analysis, risk scoring, and other advanced analytic capabilities.
  • Lead technical teams responsible for model development, experimentation, quality assurance, documentation, and production deployment.
  • Perform hands-on development of analytic models using open-source programming languages, frameworks, and data science tools.
  • Conduct exploratory data analysis, feature engineering, data profiling, model evaluation, and performance optimization across complex datasets.
  • Establish and oversee rigorous quality control processes to ensure analytic outputs are accurate, reliable, repeatable, and fully documented prior to Government delivery.
  • Review technical work products, source code, analytic methodologies, and model outputs produced by contractor support teams.
  • Identify technical risks, recommend mitigation strategies, and ensure timely delivery of high-quality analytic products.
  • Collaborate with Project Managers, Data Engineers, Graph Data Scientists, Investigative Analysts, Forensic Accountants, and Government stakeholders throughout the project lifecycle.
  • Present analytic methodologies, technical findings, model performance, and recommendations to Government leadership, investigators, and oversight organizations.
  • Support Agile delivery through sprint planning, backlog refinement, technical demonstrations, and iterative model development.

Required Qualifications
  • Must have experience with Fraud Analysis
  • Five (5) or more years of hands-on experience developing analytic rules and models for fraud detection use cases using leading-edge analytic tools and best practices.
  • Five (5) or more years of experience designing analytic approaches, managing model development and testing efforts, and conducting thorough quality control.
  • Demonstrated experience ideating innovative analytic use cases to detect and prevent fraud, waste, abuse, and mismanagement.
  • Five (5) or more years of experience tracking project progress, identifying technical risks, and delivering high-quality analytic solutions on schedule.
  • Five (5) or more years of experience reviewing contractor-developed analytic models, code, methodologies, and work products prior to final delivery.
  • Five (5) or more years of hands-on experience developing analytic rules and models using open-source programming languages and frameworks.
  • Strong written, verbal, presentation, and technical communication skills.
  • Demonstrated ability to lead technical teams while remaining actively engaged in hands-on analytics development.

Preferred Qualifications
Preference will be given to candidates with demonstrated experience in one or more of the following areas:
  • Developing fraud detection, fraud prevention, and program integrity analytics supporting pandemic relief, emergency assistance, grants, loans, healthcare, unemployment insurance, disaster relief, financial assistance, or other high-volume federal benefit programs.
  • Designing, developing, validating, deploying, and maintaining advanced analytic models utilizing machine learning, artificial intelligence (AI), natural language processing (NLP), anomaly detection, entity resolution, graph analytics, link analysis, knowledge graphs, risk scoring, or robotic process automation (RPA).
  • Applying open-source programming languages and frameworks such as Python, SQL, Spark, Pandas, Scikit-learn, TensorFlow, PyTorch, or comparable data science technologies.
  • Developing analytics within cloud-native environments utilizing Azure Databricks, Microsoft SQL Server, Microsoft Fabric, Azure Data Lake, Power BI, Neo4j, Git repositories, Lakehouse architectures, or enterprise data catalogs.
  • Working with large-scale public, non-public, commercial, financial, and law enforcement datasets to identify organized fraud rings, synthetic identities, duplicate entities, eligibility issues, and emerging fraud schemes.
  • Conducting exploratory data analysis, data profiling, feature engineering, model validation, performance testing, and quality assurance throughout the analytics lifecycle.
  • Supporting Offices of Inspector General (OIGs), law enforcement organizations, oversight agencies, or program integrity initiatives through advanced analytic solutions.
  • Developing reproducible analytic workflows that emphasize governance, documentation, transparency, explainability, and enterprise data management best practices.
  • Leading technical reviews, mentoring data scientists, and establishing quality standards for analytic products delivered to Government customers.

What We're Looking For
We're looking for a technical leader who enjoys solving complex fraud detection challenges while remaining actively involved in hands-on analytics development. The ideal candidate is equally comfortable writing code, designing machine learning models, reviewing technical work products, mentoring fellow data scientists, and briefing analytic findings to senior Government stakeholders. They combine innovative thinking with disciplined engineering practices to ensure every analytic solution is technically sound, operationally effective, and capable of supporting real-world investigative and oversight missions.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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