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Nesting Programmer Jobs in Washington (NOW HIRING)

Full Stack Developer

Mclean, VA · On-site

$113K - $188K/yr

We are seeking a Full Stack Developer with a strong frontend and data-integration focus to support ... Build and integrate backend APIs using Node.js (Nest.js) and Python-based analytics services.

Full Stack Developer

Mclean, VA · On-site

$113K - $150K/yr

We are seeking a Full Stack Developer with a strong frontend and data-integration focus to support ... Build and integrate backend APIs using Node.js (Nest.js) and Python-based analytics services.

Full Stack Developer

Mclean, VA · On-site

$113K - $150K/yr

We are seeking a Full Stack Developer with a strong frontend and data-integration focus to support ... Build and integrate backend APIs using Node.js (Nest.js) and Python-based analytics services.

We are seeking a Full Stack Developer with a strong frontend and data-integration focus to support ... Build and integrate backend APIs using Node.js (Nest.js) and Python-based analytics services.

Full Stack Developer

Mclean, VA · On-site

$113K - $188K/yr

We are seeking a Full Stack Developer with a strong frontend and data-integration focus to support ... Build and integrate backend APIs using Node.js (Nest.js) and Python-based analytics services.

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.

New

They are seeking a Software Developer to design, develop, and maintain backend services, build REST ... nested JSON data. • Familiarity with OSCAL, NIST 800-series guidance, RMF, FedRAMP, or security ...

New

Proficiency in Node.js and Python for server-side development; experience with Express.js, Nest.js ... across engineering, design, DevOps, and program management teams. Preferred Qualifications

Software Engineering Job Qualifications: Skills: Application Development, Software Development ... Microservices, REST, Node.js, Nest.js * Build Tools: maven, gradle, git, tactical and strategic ...

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Nesting Programmer information

What are some common challenges Nesting Programmers face when optimizing material usage, and how can they be addressed?

Nesting Programmers often encounter challenges such as minimizing material waste, managing irregular part shapes, and accommodating machine limitations. To address these, they use advanced nesting software that leverages algorithms to arrange parts efficiently on raw materials. Collaboration with production and design teams is also vital to ensure that the nesting layouts are feasible and that any changes in part specifications are promptly integrated. Continuous learning about new software features and staying updated on best practices can further help Nesting Programmers improve outcomes.

What are the key skills and qualifications needed to thrive as a Nesting Programmer, and why are they important?

To thrive as a Nesting Programmer, you need strong skills in CAD/CAM software, mathematical aptitude, and a background in manufacturing or mechanical engineering. Familiarity with nesting software like SigmaNEST, AutoCAD, or ProNest, as well as knowledge of CNC machinery, is typically required. Attention to detail, problem-solving abilities, and effective communication help optimize material usage and collaborate with production teams. These skills are crucial for maximizing efficiency, reducing waste, and ensuring smooth workflow in fabrication processes.

What is a Nesting Programmer?

A Nesting Programmer is a specialist who creates and optimizes computer programs that arrange parts or shapes efficiently on raw materials for manufacturing processes, such as metal fabrication, woodworking, or textiles. Their main goal is to minimize material waste and maximize production efficiency by using software to 'nest' parts in the best possible layout. They work closely with CAD drawings and manufacturing machines, ensuring that cutting or fabrication is both cost-effective and meets production requirements. Nesting Programmers often need strong analytical skills and familiarity with industry-specific software. This role is crucial in industries where material costs and production speed are paramount.

What is the difference between Nesting Programmer vs CAD Programmer?

AspectNesting ProgrammerCAD Programmer
Required CredentialsTechnical certifications, experience with nesting softwareCAD software proficiency, technical certifications
Work EnvironmentManufacturing, fabrication facilitiesDesign studios, engineering firms
Industry UsageTextile, metal, woodworking industriesArchitecture, engineering, product design

While both roles involve computer-aided design, a Nesting Programmer specializes in optimizing material layouts for manufacturing, whereas a CAD Programmer focuses on creating detailed design models. The roles often overlap in technical skills but differ in application and industry focus.

What are popular job titles related to Nesting Programmer jobs in Washington? For Nesting Programmer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Nesting Programmer jobs in Washington look for? The top searched job categories for Nesting Programmer jobs in Washington are:
What cities in Washington are hiring for Nesting Programmer jobs? Cities in Washington with the most Nesting Programmer job openings:
Remote Cloud Data Engineer (Must have experience with Pyspark) with Security Clearance

Remote Cloud Data Engineer (Must have experience with Pyspark) with Security Clearance

Advantech GS Enterprises, Inc.

Fort George G Meade, MD • On-site

$127K - $152K/yr

Contractor

Re-posted 11 days ago


Job description

Data Cloud Engineer Location: Fort Meade, MD (remote)
Company: Advantech GS Enterprises Program: DISA NEXUS
Clearance Required: Active Secret Clearance
Employment Type: Full-Time
Bonus: $1,000 Sign-On Bonus Position Overview Advantech GS Enterprises is seeking a highly skilled Data Cloud Engineer to support the DISA NEXUS program at Fort Meade. This role will focus on designing, building, and maintaining scalable cloud-based data solutions supporting enterprise modernization and mission-critical analytics within secure DoD environments. The ideal candidate will have strong experience developing production-grade data pipelines within Azure and/or AWS cloud environments, with expertise in PySpark, Spark SQL, Python, and modern data engineering best practices. This position offers the opportunity to contribute to a long-term federal modernization effort centered around multi-cloud integration, secure data architecture, and advanced analytics capabilities. Key Responsibilities
Design, develop, and maintain scalable cloud-based ETL/ELT pipelines using Azure Synapse Analytics, Databricks, AWS Glue, and related technologies
Build and optimize large-scale data transformations using PySpark and Spark SQL, applying best practices for partitioning, query optimization, and performance tuning
Develop and support data ingestion frameworks for both structured data (relational tables, CSV files) and unstructured data (JSON, nested structures, REST API integrations)
Implement full and incremental data loading strategies, including change data capture (CDC), late-arriving record handling, and rerunnable pipelines
Design and maintain cloud-based data lakes, warehouses, and analytics-ready datasets supporting enterprise reporting and operational decision-making
Implement data quality and governance controls including schema validation, schema enforcement, schema drift handling, RBAC, lineage, cataloging, and credential management
Monitor and troubleshoot pipelines for latency, failures, logging, alerting, and operational reliability
Support CI/CD pipeline implementation for automated deployments, rollback strategies, and environment promotion processes
Collaborate with cybersecurity and cloud engineering teams to ensure compliance with RMF, STIG, FedRAMP, and DoD security standards
Utilize Oracle databases and cloud-native tools to support data migration, integration, and modernization initiatives
Support Agile development efforts and collaborate with DevOps and software engineering teams across the program lifecycle
Required Qualifications
Active Secret Clearance required
Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical field
5+ years of recent experience designing and operating scalable, production-grade data pipelines using Azure Synapse Analytics and/or Databricks
Strong hands-on experience with PySpark and Spark SQL for large-scale transformations and optimization
Advanced proficiency in Python and SQL for data querying, automation, and analysis
Experience ingesting and integrating structured and unstructured datasets from databases, flat files, REST APIs, and external systems
Experience implementing full and incremental load strategies including CDC concepts and rerunnable pipeline architectures
Experience with data quality controls including schema validation, enforcement, and schema drift handling
Experience with pipeline monitoring, logging, alerting, and operational support
Experience implementing CI/CD pipelines and automated deployment processes
Knowledge of data governance and secure access management concepts including RBAC and credential management
Hands-on experience with Azure and/or AWS cloud data services such as Azure Synapse, Azure Data Factory, Databricks, AWS Glue, Redshift, and S3