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Nesting Jobs in Virginia (NOW HIRING)

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3D Designer (CAD Designer)

Purcellville, VA · On-site

$28 - $38.50/hr

Create and adjust nesting programs using SigmaNEST or comparable CAM software to support efficient material utilization. * Coordinate with production teams to resolve design-related manufacturing ...

New

This is the perfect schedule for a student, a homebody, empty-nester, or someone caring looking to relocate to Reston, VA and save on living expenses. Experience preferred but not required and ...

CNC Machinist 1/Class - (21)

Portsmouth, VA

$19.75 - $27/hr

Review and interpret production travelers, nesting files, engineering drawings, cut lists, and work instructions. * Execute machine startup, changeovers, and shutdown procedures safely and ...

CNC Programmer - (19)

Portsmouth, VA

$25.75 - $35/hr

Convert engineering drawings, 3D models, and production requirements into optimized machine programs and nesting plans. * Generate and validate tool paths, cut strategies, robotic motion paths, and ...

CNC Machinist 1/Class - (21)

Portsmouth, VA · On-site

$20 - $27.25/hr

Review and interpret production travelers, nesting files, engineering drawings, cut lists, and work instructions. * Execute machine startup, changeovers, and shutdown procedures safely and ...

Showing results 21-40

Nesting information

See Virginia salary details

$11

$47

$74

How much do nesting jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for nesting in Virginia is $47.88, according to ZipRecruiter salary data. Most workers in this role earn between $38.85 and $58.37 per hour, depending on experience, location, and employer.

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

To thrive in a Nesting role, which typically refers to a specialist in optimizing material layouts for manufacturing processes, you need strong analytical skills, attention to detail, and a background in CAD or CAM systems. Proficiency with nesting software such as SigmaNEST, AutoCAD, or similar tools is often required, and familiarity with manufacturing standards or certifications can be advantageous. Excellent problem-solving abilities, communication, and teamwork help you work effectively within production teams and with engineers. These skills ensure efficient use of materials, cost savings, and smooth collaboration across departments in manufacturing environments.

What is a nesting?

A Nesting job typically involves optimizing the arrangement of materials for cutting, such as metal, wood, or fabric, to minimize waste and improve efficiency. It is commonly used in manufacturing, CNC machining, and sheet metal fabrication. Nesting professionals use specialized software to plan layouts that maximize material utilization while ensuring precise cuts. This process helps reduce costs and improve production efficiency.

What are the typical responsibilities of a nesting specialist in a manufacturing company?

As a Nesting specialist, your daily responsibilities include analyzing production drawings, creating optimized layouts for cutting raw materials, and working closely with production and engineering teams to minimize waste. You will frequently use specialized software to generate nesting patterns that ensure quality and efficiency during manufacturing. Collaboration with machine operators and quality control staff is common, as you’ll need to adjust layouts based on material constraints or project changes. Success in this role often leads to opportunities for advancement into senior technical or supervisory positions within manufacturing or engineering departments.

What are popular job titles related to Nesting jobs in Virginia? For Nesting jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Nesting jobs in Virginia look for? The top searched job categories for Nesting jobs in Virginia are:
Infographic showing various Nesting job openings in Virginia as of August 2026, with employment types broken down into 59% Full Time, 36% Part Time, 3% Contract, and 2% Nights. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $99,590 per year, or $47.9 per hour.

Data Analytics Engineer / Business UAT Tester

SES

Reston, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

No C2C or C2H

Job Description:

Seeking an experienced Data Analytics Engineer / Business UAT Tester with 7+ years of analytics, monitoring, visualization, production support, and developer collaboration experience, including 5+ years validating business requirements, data outputs, reports, APIs, and applications before production deployment. Hands-on with GenAI-assisted data extraction, prompt-guided validation, report-ready JSON generation, summarization, trend analysis, anomaly detection support, and validation of generated narratives, tables, and charts. Provides white glove user onboarding and embedded, forward-deployed style support to help developers, QA, analytics teams, and business users operationalize GenAI-enabled reporting solutions in regulated enterprise environments.

  • Business UAT & production readiness: Plan, execute, and document UAT test cases, expected results, evidence, defects, regression validation, acceptance criteria, requirements traceability, user sign-off, and release-readiness decisions.
  • GenAI-enabled ingestion and reporting: Support developers and business teams in designing, testing, and validating dynamic data ingestion and report generation workflows, including source-to-report reconciliation and business-ready outputs.
  • GenAI output validation: Validate extracted data, nested JSON payloads, generated summaries, trend insights, anomaly detection outputs, and narrative, table, and chart results using human-in-the-loop review and business-rule checks.
  • JSON/API and data quality validation: Validate REST API request/response payloads, nested JSON, schema alignment, metadata completeness, SQL reconciliation, source-to-output accuracy, and Jira-supported defect resolution using Postman and Swagger/OpenAPI.
  • Forward-deployed stakeholder support: Work closely with business users, product owners, developers, QA, model risk, validation, analytics, and technology teams to clarify requirements, resolve rollout issues, and close feedback loops during delivery.
  • White glove onboarding and adoption: Create onboarding guides, SOPs, user guides, training materials, UAT artifacts, knowledge-transfer content, and adoption playbooks; facilitate walkthroughs, answer user questions, capture feedback, and coordinate early-life support.

Technical Skills

GenAI Skills: Prompt-assisted extraction, field/entity mapping, GenAI output validation, report-ready JSON generation, summarization, trend analysis support, anomaly detection review, exception handling, human-in-the-loop quality checks, and validation of generated narratives, tables, and charts.

SQL / Databases: Strong SQL for complex analytical queries, source-to-target validation, reconciliation, semi-structured data analysis, data quality checks, production-readiness testing, relational database concepts, and use of SQL workbench/query tools for testing and validation.

Python: pandas, NumPy, JSON parsing/transformation, dynamic ingestion support, report generation workflows, analytics automation, and pipeline testing.

JSON / APIs: REST APIs, request/response payloads, nested JSON, Postman, Swagger/OpenAPI, schema checks, metadata validation, and API testing.

Tools / Methods: Jira, Agile/Scrum methodologies, AWS cloud platforms, dashboards, visualization, model monitoring, documentation tools, developer collaboration, white glove onboarding, and forward-deployed enablement.

Experience & Qualifications

Experience: 7+ years of software development, analytics, data engineering, monitoring, visualization, production support, dynamic ingestion support, report-generation testing, and business enablement experience.

Business UAT: 5+ years validating requirements, test cases, defects, fixes, regression outcomes, generated reports, data outputs, user adoption needs, and production readiness with stakeholders and developers.

Regulated delivery: Financial services or regulated enterprise experience, including documentation, validation, model risk, analytics, governance reporting, stakeholder engagement, and enterprise delivery standards.

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering or a related quantitative field.

About SES:
Systems Engineering Services Corporation (SESC), founded in 1989, is a leading provider of technology solutions to Fortune 1000 companies and government organizations. Specializing in Accelerated Development Services (agile application development, mobile, systems integration, project and program management), Architecture Services (SOA, microservices, Cloud), Data Services (DW, BI, Big Data), Testing, Cyber Security and DevOps, SESC is guided by a corporate mission to provide valuable solutions to our client s technology needs through responsive quality services.
Contact Information:
Please contact me for all of the details of the client company, environment, and the position. I look forward to speaking with you.

Jim Murphy