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Assistant Pattern Maker Jobs in Newark, NJ (NOW HIRING)

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Assistant Pattern Maker information

See Newark, NJ salary details

$10

$22

$37

How much do assistant pattern maker jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for assistant pattern maker in Newark, NJ is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $25.70 per hour, depending on experience, location, and employer.

What does an assistant pattern maker do?

An Assistant Pattern Maker supports the design and production process by creating, modifying, and grading patterns for garments or textiles. They work closely with designers and senior pattern makers to ensure accurate fit and proportions. Responsibilities include digitizing patterns, making adjustments based on fittings, and collaborating with manufacturing teams to improve efficiency. Strong attention to detail, knowledge of garment construction, and proficiency in pattern-making software are key skills for this role.

What are the key skills and qualifications needed to thrive as an assistant pattern maker?

To thrive as an Assistant Pattern Maker, you should have a solid understanding of garment construction, pattern drafting, and basic sewing techniques, often supported by a degree or coursework in fashion design or pattern making. Familiarity with pattern making software such as Gerber or CAD systems is highly valuable, as well as experience with manual drafting tools. Attention to detail, effective communication, and the ability to work collaboratively in a team environment are important soft skills. These abilities are crucial for accurately translating design concepts into production-ready patterns and ensuring seamless coordination within the fashion production process.

What does a typical day look like for an assistant pattern maker?

A typical day for an Assistant Pattern Maker involves collaborating closely with designers and senior pattern makers to interpret sketches, create sample patterns, and make adjustments based on fit sessions or design changes. You might split your time between working on computers with pattern making software and hands-on tasks like cutting fabric or refining sample garments. The role often includes reviewing tech packs, communicating with the production team, and ensuring patterns are ready for manufacturing. Fast-paced and detail-oriented, this position provides valuable exposure to the overall garment creation process and is a solid stepping stone to more advanced roles in pattern making or technical design.

What cities near Newark, NJ are hiring for Assistant Pattern Maker jobs?

Cities near Newark, NJ with the most Assistant Pattern Maker job openings:

Assistant Pattern Maker jobs near you
Infographic showing various Assistant Pattern Maker job openings in Newark, NJ as of September 2026, with employment types broken down into 2% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $46,305 per year, or $22.3 per hour.

Director of Software Engineering Sales & Controls Technology

Jersey City, NJ • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

$264K/yr

Other

Posted 11 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description

If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you.

As a Director of Software Engineering at JPMorganChase within Commercial & Investment Bank , Sales & Controls Tech Team, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

Job responsibilities
  • Leads technology and process implementations to achieve functional technology objectives
  • Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
  • Sets direction and governance for agentic AI-enabled engineering and SDLC/ADLC automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives at scale.
  • Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
  • Delivers technical solutions that can be leveraged across multiple businesses and domains
  • Leadership capabilities: leads/mentors technologists, influences stakeholders, and supports hiring/screening for deep technical roles.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
  • Expert Python engineer: builds production-grade services/libraries with strong testing, performance, and reliability practices.
  • Proven AI/agentic workflow architecture experience (tool-use patterns, orchestration, context management, guardrails, human-in-the-loop).
  • Strong solution/enterprise architecture skills: designs end-to- end systems and documents patterns, integrations, and data flows clearly.
  • Hands-on AWS experience delivering secure, scalable cloud-native services (IAM/security, networking, compute, monitoring/observability).
  • VectorDB + retrieval (RAG) experience: embedding/indexing pipelines, similarity search, metadata filtering, and relevance/latency tradeoffs.
  • Experience building personalization driven by user profiles/entitlements/preferences and applying it to AI assistant experiences.
  • Familiarity with voice + chat conversation data processing pipelines to enable assistant insights and personalization.
  • Platform ownership mindset for large user bases (~3,000 users): availability, resiliency, incident response, and safe release practices.

  • Strong responsible AI / controls understanding: secure handling of sensitive inputs/outputs, governance, and quality gates using enterprise-authorized tools.

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