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Nesting Engineer Jobs in Washington, DC (NOW HIRING)

Forgent

Fabrication & Manufacturing Engineer

Hanover, MD · On-site

$100K - $115K/yr

Use CAM software to write precise G-code programs and optimize nesting layouts. Their goal is to ... Work with Manufacture Engineering Team to write clear, highly visual work instructions for setting ...

Sinclair Broadcast Group

Broadcast Engineer

Arlington, VA · On-site

$31.48 - $36.98/hr

7 News in Washington, DC is looking for a Broadcast Engineer ! This individual will be responsible ... The Nest. Sinclair's AMP Media produces a growing portfolio of digital content and original ...

Digital Remedy

Broadcast Engineer

Arlington, VA

$31.48 - $36.98/hr

7 News in Washington, DC is looking for a Broadcast Engineer ! This individual will be responsible ... The Nest. Sinclair's AMP Media produces a growing portfolio of digital content and original ...

Arbor

Senior/Staff Back-end Engineer

Washington, DC · Remote

The Opportunity We're looking for a backend-focused engineer to join our lean, high-leverage ... Strong JavaScript/TypeScript expertise: Node.js for backend services, familiarity with Nest.js a ...

Easy Dynamics

Software Engineer

Mclean, VA · On-site

$150K - $200K/yr

Our world-class team of engineers, consultants, and subject-matter experts are builders, problem ... Experience working with JSON Schema, structured document models, or complex nested JSON data.

Elliptic

Fullstack Engineer

Washington, DC · On-site

$140 - $210/hr

As an engineer in our Collection Engineering team, you'll build the tools and platform that power ... Proficiency in TypeScript, with hands-on experience of React and Nest.js. * Familiarity with ...

Geico

Senior Network Engineer

Bethesda, MD · On-site

$75K - $215K/yr

GEICO is seeking an experienced Engineer with a passion for building high-performance,low ... Ability to work with nested data structures like JSON, XML, YAML * Ability to work with APIs and ...

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All JobsNesting Engineer JobsNesting Engineer Jobs in Washington, DC

Nesting Engineer information

See Washington, DC salary details

$44.2K

$115.2K

$155.7K

How much do nesting engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for nesting engineer in Washington, DC is $115,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $131,900.00 per year, depending on experience, location, and employer.

What is a nesting engineer?

A Nesting Engineer is responsible for optimizing the arrangement of parts on raw materials, such as metal sheets, to minimize waste and improve manufacturing efficiency. They use specialized CAD/CAM software to generate cutting patterns for CNC machines. This role requires knowledge of manufacturing processes, material properties, and cost optimization. Nesting Engineers work closely with production teams to ensure accuracy and efficiency in fabrication.

What are the typical daily responsibilities of a nesting engineer?

Nesting Engineers spend their days preparing and optimizing cutting patterns for sheet metal or other raw materials using advanced CAD/CAM and nesting software. They collaborate closely with production planners, machine operators, and quality assurance teams to ensure that designs are not only efficient but also manufacturable to required specifications. Regular tasks include analyzing job orders, updating project files, troubleshooting design issues, and making real-time adjustments for manufacturing constraints. This role involves both independent technical work and active communication with various departments to keep production running smoothly.

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

A successful Nesting Engineer needs a strong background in mechanical engineering, CAD/CAM software proficiency, and a solid understanding of manufacturing processes and materials. Familiarity with specialized nesting software such as SigmaNEST, AutoCAD, or TruTops, and often certifications in CAD or sheet metal fabrication are typically required. Attention to detail, excellent problem-solving skills, and effective teamwork abilities help Nesting Engineers excel in optimizing production layouts. These skills ensure efficient material usage, minimize waste, and contribute to streamlined manufacturing operations.

What are popular job titles related to Nesting Engineer jobs in Washington, DC?

For Nesting Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Nesting Engineer jobs in Washington, DC look for?

The top searched job categories for Nesting Engineer jobs in Washington, DC are:

Nesting Engineer jobs near you

Data Analytics Engineer - Python, AWS - ZL

SES

Washington, DC • On-site

Other

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

Job description

Top 5 Technical Skills:

  1. Python
  2. SQL
  3. API /. SDLC
  4. Data Insights and Visualization
  5. Financial Services Domain Knowledge

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.

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