Scribehow Desktop Version Jobs in Usa

Job Title: eCommerce Project Manager (Adobe Commerce)

Position Type: Permanent or Contract-to-Hire (preferred)

Location: Hybrid - 4 Days on site per week in Milwaukee, Wisconsin

Salary/Contact Rate: $100,000 - $130,000 DOE

*US Citizens or Green Card holders only*

Our client, a Machinery Manufacturing company, is seeking a skilled eCommerce Project Manager to lead the delivery of complex, high conversion web projects. You will be the bridge between their stakeholders' visions and engineering team's execution.

Job Description:

• You will lead the Agile and Scrum process, facilitating daily stand-ups, sprint planning, retrospectives and demos.
• Adobe Commerce Expert: Guide the team through Adobe Commerce-specific workflows, including third-party integrations, module customisations and version upgrades.
• Stakeholder Management: Translate business language into technical requirements (User Stories) and manage expectations regarding scope and timelines.
• Backlog Refinement: Keep the product backlog healthy, prioritised and clearly defined so the dev team never hits a roadblock.

Qualifications:

• 3+ years of Project Management experience specifically within the eCommerce sector.
• Deep, hands-on experience managing projects on Magento 2/ Adobe Commerce (Cloud or On-Prem). Alternative enterprise eCommerce products will be considered (Shopify or Salesforce Commerce Cloud).
• Certified Scrum Master (CSM) or equivalent experience running Agile/Kanban teams in a fast-paced environment.
• You don't need to code, but you should understand the MVC architecture, APIs, and the difference between a core hack and a clean extension.
• Proficiency with Jira, Confluence, and roadmap software (like Roadmunk or Asana).

Beneficial to have:

• Adobe Certified Professional - Adobe Commerce Business Practitioner
• PMP Certified

About Hirobe Limited:

Expert recruitment, powered by a deep understanding of the Adobe Experience Cloud. Since 2018, we've been connecting the best Adobe professionals with leading organizations, giving us a unique insight into both the technology and the talent. What truly sets us apart is our specialized market knowledge, tailored service, and unwavering commitment to finding the ideal fit for everyone involved.

We are looking for a highly motivated AI Engineer to join our IT team. This role is ideal for someone passionate about building real-world AI solutions and eager to work across the full AI technology stack—from model integration and retrieval pipelines to agentic AI workflows, multi-agent orchestration, and application-level features used by business teams. You will also contribute to data engineering efforts that feed AI capabilities, working alongside a modern analytics platform built on Microsoft Fabric.

As an AI Engineer, you will help design, develop, and deploy AI capabilities. You will contribute to production-grade AI features in areas such as Open-to-Buy planning, Sales Forecasting, Intelligent Order Management Systems (OMS), Product Copy Generation, and Image Generation.

This is a unique opportunity to work on meaningful, high-impact AI initiatives while implementing modern AI infrastructure, LLMOps practices, and scalable system design.

This role will work from our Greenwich, CT office and report to the Senior Director of System Integration & Operation on our current hybrid schedule, 3 days in office and 2 days remote.

Key Responsibilities:

AI Application Development

Build and maintain AI-powered features including:

• Open-to-Buy optimization and inventory planning models
• Sales forecasting and demand prediction solutions
• Intelligent OMS features for routing, allocation, and automation
• Marketing AI tools such as product copy generation and AI-assisted image generation

Integrate custom and foundation LLMs into internal applications using API and SDK interfaces, leveraging structured outputs, function/tool calling, and prompt caching to optimize reliability and cost.

RAG, GraphRAG, + Vector DB Engineering

• Develop retrieval pipelines using vector embeddings and similarity search (Azure AI Search, FAISS, Pinecone, or equivalent).
• Implement chunking, embedding, indexing, query routing, and relevance-tuning strategies, including advanced reranking and hybrid search techniques.
• Maintain a high-quality knowledge base to support AI features via Retrieval-Augmented Generation.
• Explore and implement GraphRAG patterns to improve knowledge retrieval over structured enterprise data and entity relationships.

AI Agents & Orchestration

• Design and build AI agents capable of planning, tool use, and multi-step reasoning using frameworks such as LangGraph, PydanticAI, CrewAI, or Google ADK.
• Implement Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol integrations to connect AI agents with internal tools, APIs, data systems, and other agents in a standardized, interoperable way.
• Build guardrails, evaluation frameworks, and human-in-the-loop checkpoints to ensure reliable and safe agent behavior in production.

AI Infrastructure & System Architecture

• Maintain private cloud LLM instance landscape, ensuring secure and efficient usage.
• Assist in deploying scalable inference pipelines, batching, and caching layers.
• Collaborate with DevOps and Data Engineering on CI/CD, model deployment workflows, monitoring, and integration with the Microsoft Fabric data platform (including Fabric MCP for agent-to-data connectivity).

Data Engineering, Pipelines & Model Training

• Clean, transform, and prepare datasets for ML/AI pipelines; contribute to data engineering workflows including ELT pipeline design, medallion architecture patterns, and data transformation within the Lakehouse layer.
• Train, validate, and fine-tune models where appropriate (LLMs, forecasting models, classification models, etc.); familiar with parameter-efficient techniques such as LoRA and QLoRA.
• Evaluate model performance and optimize latency, accuracy, and cost using LLM evaluation and observability frameworks (e.g., RAGAS, LangSmith, Langfuse, Helicone, or custom evals); manage prompt versioning and regression testing.

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field.
• Strong foundations in Python, data structures, and machine learning concepts.
• Comfortable working with LLM APIs, embeddings, vector databases, and RAG patterns; exposure to agentic patterns, tool use, and GraphRAG concepts is a strong plus.
• Familiarity with cloud environments (Azure preferred; AWS or GCP also acceptable).
• Understanding of systems diagrams, architecture patterns, and AI infrastructure components.
• Exposure to SQL/NoSQL databases.
• Exposure to data engineering concepts such as ELT/ETL pipelines, data transformation, and data modeling.
• Awareness of responsible AI principles including bias detection, fairness, and model interpretability.
• Awareness of AI agent frameworks and orchestration concepts (e.g., LangGraph, PydanticAI, Semantic Kernel, CrewAI, or Google ADK).
• Familiarity with prompt engineering best practices including chain-of-thought, few-shot prompting, and structured output design.

Preferred Qualifications:

• Familiarity with Microsoft Fabric (OneLake, Lakehouse, Spark notebooks, semantic models) and Power BI; experience with Fabric MCP integrations is a strong differentiator.
• Experience implementing MCP (Model Context Protocol) servers or A2A (Agent-to-Agent) protocol endpoints, or integrating AI agents with external tools and APIs.
• Exposure to multimodal AI capabilities (vision-language models) for applications such as product image analysis or document understanding.
• Experience building small AI apps, demos, or tools—portfolio/GitHub encouraged.

What you'll Gain:

• Hands-on impact in designing enterprise AI capabilities from the ground up.
• Opportunities to work with cutting-edge LLM technologies in a private, secure environment, alongside a modern Microsoft Fabric data platform.
• A chance to shape AI products used across supply chain, marketing, and e-commerce.

Company Overview:

Established in 2005, Marc Fisher Footwear company is a leading full-service, product-driven fashion footwear company with knowledge and expertise in design, sales, sourcing, distribution and marketing – all with dedicated and strategic direction for each brand within the portfolio, which includes GUESS, G by Guess, Nine West, Tommy Hilfiger, Earth, Calvin Klein, Kenneth Cole Men's, Hunter Boots, Rockport, Bandolino, indigo rd., Unisa, and Easy Spirit along with the namesake brands – Marc Fisher and Marc Fisher LTD.

Our diverse portfolio of globally recognized brands – available domestically and internationally via wholesale and retail channels – consistently meets the widest range of consumers’ fashion footwear needs, from classic to contemporary, sport to dress, men’s to women’s. Headquartered in Greenwich, Connecticut, with showrooms in New York City, Marc Fisher Footwear is sold worldwide through department stores, specialty stores and e-commerce channels.

Marc Fisher Footwear is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.

We are seeking a detail-oriented and organized Print & Packaging Production Assistant to support the Print Production and Creative teams. This role assists with the coordination, tracking, and review of print and packaging materials to ensure projects move smoothly through proofing and approval processes. Working closely with a senior Print Production Manager, the Assistant helps maintain timelines, organize files, and communicate updates across internal teams and external vendors.

Key Responsibilities:

Project & Proofing Support

• Assist in coordinating the submission, review, and approval of print and packaging proofs using internal systems and proofing tools.
• Support the review of vendor-submitted mechanical files to ensure they align with approved creative files and brand standards.
• Help track project milestones, deadlines, and approvals, escalating issues or delays to the senior manager as needed.

File Management & Documentation

• Maintain organized records of approved creative files, proofs, and final deliverables across internal servers and vendor platforms.
• Ensure files are properly named, archived, and easy to locate for future reference.
• Assist with confirming packaging specifications, version accuracy, and production details as requested.

Process & Administrative Support

• Use project management and proofing tools (such as PLM, PageProof, Workzone, , and Microsoft Office) to update statuses and documentation.
• Help identify potential bottlenecks and flag risks to the senior manager.
• Support ongoing process improvements by following established workflows and suggesting efficiencies when appropriate.

Qualifications:

Required

• Bachelor’s degree or equivalent professional experience
• 1–2 years of experience in a coordination, production, creative, or administrative support role (internships or temp roles count)
• Strong attention to detail and ability to manage multiple tasks simultaneously
• Proficiency in Microsoft Office, especially Excel
• Clear written and verbal communication skills
• Ability to work in a deadline-driven, fast-paced environment

Preferred

• Exposure to print production, packaging, or creative workflows
• Familiarity with proofing tools or project management systems (PLM, PageProof, Workzone, )
• Basic knowledge of Adobe Acrobat or Adobe Creative tools

Skills & Attributes

• Highly organized with strong follow-through
• Collaborative and comfortable working with cross-functional teams
• Willingness to learn new systems and processes
• Able to take direction and prioritize tasks effectively
• Positive, flexible, and solutions-oriented mindset

Client Location: Playa Vista, CA or Bentonville, AR

Starting: 04/06/2026

Pay Comments: W2, Benefits and 401k matching

Minimum Pay (per hour): 35.00

Maximum Pay (per hour): 40.00

Hours: Full-time

Duration: 01/29/2027

Note: This roles requires 5 days onsite in either Playa Vista, CA or Bentonville, AR.

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Aquent is seeking a Store Designer to join their clients in-house creative agency. The team develops breakthrough and distinctive omnichannel brand design systems that meet customer needs and drive business objectives while keeping our global brand relevant in culture. They use creativity and design to make our brand an obvious choice for all.

We are seeking a curious, self-starting Designer with a strong foundation in 3D visualization and spatial design (2–4 years of experience) who is excited to lead the exploration of how AI tools can accelerate creative workflows.

Working alongside senior design leadership, this role will help visualize and prototype next-generation retail environments and store concepts, contributing to design systems that shape how the brand comes to life in physical space. The designer will drive the development of spatial concepts and floorplans, using 3D modeling, AI-assisted visualization, and rapid prototyping to bring new ideas to life.

This role is ideal for a professional who is fluent in 3D tools and eager to experiment with Generative AI as a creative accelerator—using emerging technologies to speed up concept development, rendering, and storytelling while refining outputs through high-level design craft.

Collaboration & Strategy

• Lead the ideation and visualization of store design systems that improve the customer experience while remaining operationally sound.
• Reimagine category floorplans, service spaces, seasonal visual identities, and in-store storytelling moments.
• Partner with cross-functional teams including architecture, real estate, fixture design, and production.
• Establish AI-assisted creative workflows while collaborating within governance guardrails.

AI-Assisted Visualization & Workflow

• Utilize Generative AI tools to accelerate 3D concepting, rendering, mood boarding, and spatial storytelling.
• Develop and document effective prompt approaches and workflows that support scalable, brand-safe creative production.
• Apply human-in-the-loop editing—refining AI outputs through advanced modeling, lighting, material adjustments, and post-production polish.
• Maintain version control and ensure outputs align with strict brand and compliance standards.

3D Design & Craft

• Develop high-fidelity 3D models, spatial concepts, and perspective sketches for retail environments.
• Create detailed floorplans, site layouts, and scaled visualizations that clearly communicate design intent.
• Produce professional renderings and presentation materials that articulate both creative vision and operational feasibility.
• Translate complex ideas into clear visual systems that can scale across diverse physical locations.

Quality & Execution

• Ensure all outputs meet elite standards of craft, brand alignment, accessibility, and feasibility.
• Incorporate stakeholder feedback quickly and iterate with agility.
• Deliver polished, presentation-ready work that is on-brief and strategically sound.

Qualifications

• Education: Bachelor’s degree in environmental design, interior design, industrial design, or a related field.
• Experience: 2–4 years of professional experience in 3D design, retail environments, or spatial design.
• Portfolio: A strong portfolio demonstrating advanced spatial thinking, 3D visualization, and a clear concept development process.
• Technical Skill: Proven ability to draw in perspective, work in scale, and develop complex floorplans or spatial layouts.
• Software Proficiency: Mastery of 3D modeling and rendering tools such as AutoCAD, SketchUp, V-Ray, 3ds Max, Blender, or Unreal Engine.
• Design Tools: High proficiency in Adobe Creative Suite and presentation tools (Figma, Google Slides).
• AI Integration: Professional experience using Generative AI tools (e.g., Midjourney, DALL·E, Firefly, ChatGPT, Gemini) for creative production and concept iteration.
• Agility: Strong curiosity and a demonstrated ability to refine AI-generated outputs through traditional 3D craft.

The target hiring compensation range for this role is $35.00 to $40.00. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.

About Aquent Talent:

Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. More information on our awesome benefits!

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment—one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

As the BIM Manager at Aria, you will be the firm-wide leader driving innovation and consistency in our digital design processes. This role is central to elevating how we integrate technology into our architectural work by ensuring seamless collaboration, empowering teams with tools and training, and supporting our transition to more advanced modeling systems. We’re looking for someone who thrives on problem-solving, has a passion for mentoring others, and is eager to align technology solutions with Aria’s design visions and studio culture.

Core Responsibilities:

• Oversee the implementation of Revit and manages the transition of projects from AutoCAD to Revit to improve upon our current BIM standards.
• Further develop, evolve, and enforce the Company’s current BIM standards.
• Supports current use of Revit and implements methods of improved efficiency.
• Provide Revit/BIM management, leadership, model management, and support for the firm’s projects.
• Work closely with project teams on developing BIM implementations plans, project startup methods and workflow strategies, especially with outside consultants for model sharing.
• Assist project teams with advanced Revit modeling requirements, content creation, and coordination efforts.
• Manages and organizes Revit detail and family libraries for use between projects.
• Develop and implement Revit standards, and coordinates standards for specific project requirements.
• Ensure 3D models produce drawings and usable data that reflect the intent of the design.
• Assists troubleshooting and resolution of Revit/BIM application issues.
• Provides Revit/BIM application training to staff and develops tools and resources to assist staff in developing their BIM knowledge.
• Reviews and implements new versions of BIM software and develops customized solutions as required.
• Provides oversight and leadership to BIM Coordinators in each studio.
• Foster a positive and inclusive work environment through daily interactions with the project team, clients, partners, and the community.
• Understand and align with Aria Groups Mission, Vision, and Values

Qualifications:

• Bachelor’s degree in Architecture.
• Functional expertise in Revit workflows and problem solving withing the architectural industry.
• A minimum of 5-10 years of experience in the architecture industry
• A minimum of 3 years of experience as a Revit or BIM Specialist
• Experience with Naviworks and/or Dynamo preferred.
• Strong understanding of construction documents, detailing, and Revit family creation.
• Availability to work in office 4 days per week/1 day remote.

Skills:

• Effective communication, organizational and time-management skills
• Ability to work efficiently under pressure and solve problems quickly.
• Strong attention to detail and commitment to model accuracy.
• Collaborative mindset with the ability to educate and mentor team members.
• Proactive approach to learning new tools, educating team members and improving workflows.

AI Strategist

Senior Director, Consulting & Delivery

Level & Department

The honest version of what's happening in enterprise AI in the middle market ($100M - $2B) right now is messy. Most organizations know they need to move. Very few have the leadership that can operate fluently at both ends of the problem… the C-suite conversation about investment rationale and the engineering conversation about whether the architecture can actually support what was just promised.

That gap is expensive and we've seen it in every sector we work in. It shows up the same way every time: smart strategy work that doesn't connect to anything deployable, or capable technical teams building things that never get funded or adopted.

The Principal AI Strategist role exists to close that gap on our most important engagements.

THE ROLE

What this position actually does

You are the senior-most strategy and delivery mind on a client engagement. You hold the intellectual and commercial thread across the entire lifecycle from the first diagnostic conversation through to a working AI system in production and the expansion that follows when the client realizes it's changing something real.

You are not the person who manages the team to do the thinking… you are responsible for the most strategic form of that thinking. You shape the strategy, challenge the architecture, own the executive relationship, and are personally accountable for whether the engagement creates measurable business value.

The title is Principal AI Strategist because that's the actual job. The level is Senior Director because that reflects the scope, accountability, and authority this role carries inside Quantum Rise and in front of clients.

OUR OPERATING PRINCIPLES

The intellectual framework you'll work inside

Quantum Rise operates from a set of principles we call Consulting 2.0. They define how engagements are structured, how we challenge client assumptions, and what we hold ourselves accountable to.

Think like an investor, not a technologist

AI value is relative to each client’s own goals / circumstances and capital is precious. We anchor every engagement to strategy → value streams → enterprise value. We don't start with use cases. We start with where the business makes and loses money, and work backward to where AI creates leverage.

• Map to where the work actually happens: We go to L4–L5 process depth where the task-level execution that explains KPI performance and reveals where AI readiness actually exists.
• Diagnose before prescribing: We use structured diagnostic lenses (process, data, systems) to move from visible symptoms to root causes.
• Data reality bounds AI ambition: What AI can reliably do is determined by the strength of the data foundation (architecture, integration, quality, consumption) not by model choice.
• Not all AI systems are created equal: Machine learning, LLMs, and agents introduce different capabilities, constraints, and operational trade-offs. Enterprise-ready agents specifically require probabilistic reasoning balanced with deterministic rules, structure, guardrails, and human oversight.
• Risk is predictable: Enterprise AI risk falls into defined categories: data privacy, bias, explainability, and governance. Principles define what good looks like; governance establishes ownership, decision rights, and escalation.
• Execution credibility matters as much as technical ambition: “Crawl”and MVP solutions that are in production beat “Run” enterprise-wide solutions that aren't.

RESPONSIBILITIES

What you own

Client strategy and delivery

• Lead end-to-end engagement execution from strategy and diagnostic through deployment and commercial expansion
• Run executive discovery sessions translating ambiguous business problems into structured AI investment rationales
• Build the business case with the rigor of an investor, not the optimism of a vendor: quantified value, honest constraints, sequenced roadmap
• Own the relationship with C-suite and senior client stakeholders as a peer, not a service provider

Technical leadership

• Apply working fluency in LLMs, agentic workflows, RAG architecture, and data infrastructure to make real design decisions ensuring the original business value is obtained
• Collaborate with engineering to challenge, refine, and pressure-test solutions against production realities
• Define AI product roadmaps that are incrementally value generating, governed, measured, and adopted

Firm development

• Identify capability and offering gaps where Quantum Rise can build durable competitive advantage
• Build reusable delivery IP (frameworks, playbooks, diagnostic tools) that improve every engagement that follows
• Develop and mentor the next generation of AI consultants on what it means to operate at the intersection of AI strategy and delivery
• Contribute to business development through the quality of your work and the depth of your client relationships

THE PROFILE

Who fits here

person who thrives in this role has a particular combination that's genuinely rare and we'd rather name it honestly than let both sides waste time discovering the mismatch.

Dimension: What this looks like in practice

Role identity: You think of yourself as a strategist who builds things, not a consultant who advises on them.

Technical depth: Hands-on with LLMs and agentic coding. You've debugged a pipeline at some point and don't need to be reminded why hallucination is an enterprise risk.

Business fluency: You can translate AI capability into a CFO-ready investment case without losing the technical precision that makes it credible.

Delivery record: 12+ years in management consulting or technical advisory with real end-to-end accountability from scoping through go-live. You are hyper customer service oriented.

Sector context: You have meaningfully operated across 3 discrete sectors learning to how effectively understand how money is actually made, customer and demand dynamics, how work gets done, regulatory constraints, etc.

Education: Engineering, CS, or MIS undergraduate foundation. MBA preferred. The combination matters and what makes the translation instinct natural. What matters is the ability to translate value creation into technology and vice versa.

Working style: You reach for the AI tool first because it's genuinely how you think and not just because we’re an AI consultancy.

BENEFITS

What we offer

• Competitive base salary + variable compensation tied to individual and company performance
• Equity options
• BCBS health, vision, and dental
• 401(k) with discretionary annual match
• FSA, DCA, commuter, and L&D stipends
• Unlimited PTO + paid holidays + paid sick time

Python AI Engineer (Prompt & Agentic Systems)

Location: Hybrid –Atlanta, GA (3 days a week onsite)

Client: Retail client

About the Role

We’re looking for a hands-on engineer who can build AI-enabled applications end-to-end using Python, with strong skills in prompt engineering and agentic system design (multi-agent/orchestrated AI workflows). You’ll design, develop, and productionize intelligent features—ranging from retrieval-augmented generation (RAG) to autonomous tasking agents integrated with internal tools and APIs.

Key Responsibilities

• Design & Build AI Services: Develop Python-based back-end services that integrate LLMs for reasoning, extraction, summarization, and decision support.
• Prompt Engineering: Craft, version, and evaluate prompts/system instructions; design guardrails, test prompt variants, and optimize for reliability, latency, and cost.
• Agentic Systems: Architect and implement autonomous/multi-agent workflows—planning, tool-use, memory, error recovery, and human-in-the-loop controls.
• RAG Pipelines: Implement document ingestion, chunking, embeddings, vector search (semantic/re-ranking), and grounding strategies.
• Evaluation & Observability: Define metrics and build eval suites for quality (accuracy, factuality, safety), and establish tracing/telemetry for LLM calls.
• API & Tool Integrations: Enable agents to use tools (internal APIs, search, databases, workflow engines); handle auth, rate limits, and fallbacks.
• MLOps / AIOps: Package, containerize, and deploy services (Docker/K8s); manage keys, secrets, CI/CD; support canary rollouts and cost governance.
• Security & Compliance: Apply data privacy principles, PII handling, redaction, prompt injection defenses, and audit logging.
• Cross-Functional Collaboration: Partner with product, data, and security teams to translate requirements into reliable AI features.

Required Qualifications

• Strong Python (typing, async, testing, packaging) and experience building production APIs/services (FastAPI/Flask).
• Hands-on with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) and embedding/RAG workflows.
• Proven prompt engineering experience (few-shot strategies, tool-use instructions, output schemas, function/tool calling).
• Experience with agent frameworks or custom agent orchestration (e.g., LangGraph/LangChain/AutoGen, or in-house equivalents).
• Vector databases (e.g., FAISS, Chroma, Pinecone, Weaviate) and search relevance tuning.
• Familiar with MLOps/DevOps: Docker, CI/CD, monitoring (Prometheus/Grafana), logging (OpenTelemetry), secrets management.
• Testing & Evals: unit/integration tests, offline evals, golden datasets, regression checks.
• Practical understanding of AI safety/guardrails (prompt injection, data leakage, jailbreak prevention).

Nice to Have

• Experience with Azure (or AWS/GCP) AI services, key vaults, and networking.
• Knowledge of Model Context Protocol (MCP) or tool-server patterns for secure tool access.
• Experience with retrievers (BM25, hybrid search), re-rankers, or LlamaIndex/LangChain.
• Familiarity with streaming UIs and structured outputs (JSON, Pydantic schemas).
• Background in LLM finetuning, RLHF/DPO, or synthetic data generation.
• Front-end basics for AI UX (React/Next.js) or chat UI patterns.
• Domain knowledge in HR/ATS, customer support, or internal enterprise workflows.

Job Description

LeadStack Inc. is an award winning, one of the nation's fastest growing, certified minority owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.

Data Engineer Level 2

Location: Blue Ash, OH 45241

Duration: 6 months (Contractor)

Pay Rate: $55–$75/hr (W2)

Interview Process: In-person interviews required at Blue Ash, OH location.

Overview

Join our team to build modern data solutions in Azure! We're seeking a skilled Data Engineer with hands-on expertise in Databricks, Spark, Python, and cloud DataOps. You'll design scalable data pipelines, automate infrastructure with Terraform/GitHub Actions, and treat data as an enterprise asset—collaborating on CI/CD, governance, and optimization for reliable, secure analytics.

Key Responsibilities

• Analyze, design, and develop Azure-based data products, pipelines, and architecture using Databricks, Spark, PySpark, Python, and SQL.
• Optimize Spark/PySpark pipelines for performance (e.g., data skew, partitioning, caching, shuffles).
• Build and maintain Delta Lake tables/models for analytical/operational use cases, including Delta Live Tables (DLT) or Databricks SQL.
• Provision cloud/Databricks resources via Terraform (IaC) and manage GitHub-based CI/CD workflows with GitHub Actions.
• Implement Git workflows for notebooks/jobs; troubleshoot clusters, jobs, and pipelines for reliability.
• Collaborate on data governance (e.g., Purview, Unity Catalog), lineage, cataloging, and enterprise standards.
• Deploy Azure fixes/upgrades; mentor on best practices; create diagrams/specs; support stakeholders and data strategy.

Requirements

• 5+ years as Data Engineer.
• Strong hands-on with Azure Databricks, Spark/PySpark, Python, SQL, and databases.
• Experience with Delta Live Tables (DLT), Databricks SQL, Azure Functions, messaging/orchestration tools.
• Proficiency in Terraform (IaC), GitHub/GitHub Actions (CI/CD, version control).
• Azure cloud data services integration; monitoring/optimizing Databricks clusters/workflows.
• Knowledge of distributed computing (partitions, joins, shuffles); data governance tools (Purview, Unity Catalog).
• SDLC familiarity; ability to manage priorities independently.

know more about current opportunities at LeadStack , please visit us on Should you have any questions, feel free to call me on (513) 3184502 or send an email on

Sr Mendix Developer

100% Remote

JD:

• Design, develop, and maintain high-quality applications using Mendix

• Collaborate with cross-functional teams to define, design, and deploy new features.

• Ensure the performance, quality, and responsiveness of applications.

• Help maintain code quality, organization, and automation.

• Participate in code reviews and provide constructive feedback to peers.

• Stay up-to-date with the latest Mendix versions to ensure our applications remain current and competitive.

Top Skills:

• Mendix

• Software Development

• Agile

Additional Details:

• Minimum of 4 years of professional experience in Mendix

• Working knowledge in Java

• Strong understanding of software development principles and methodologies

• Knowledge of DevOps practices and tools.

• Familiarity with Agile/Scrum methodologies.

• Experience with Web and mobile application development.

• Excellent problem-solving skills and attention to detail.

• Ability to work independently and as part of a team.

• Strong communication and interpersonal skills

Role: React Native Lead / Mobile Architect (Mobility)

Location: Framingham, MA (Hybrid)

Job Type: Contract

High Priority

Job Overview:

We are seeking an experienced React Native Lead / Mobile Architect to provide technical leadership and oversee mobile engineering operations. The ideal candidate will define and drive the mobile architecture strategy while leading the design and development of scalable, high-performance mobile applications.

This role requires deep expertise in React Native, TypeScript, and Native iOS integration, along with experience building production-grade applications delivered to both the Apple App Store and Google Play Store.

Key Responsibilities

• Provide technical leadership and oversee daily mobile engineering operations.
• Define and drive the mobile architecture strategy aligned with business objectives.
• Lead the design and development of scalable, high-performance mobile applications using React Native and TypeScript.
• Architect modular, reusable component systems and scalable state management solutions (Redux, Zustand, Context API).
• Design mobile navigation, routing, and deep linking strategies using React Navigation or Expo Router.
• Implement secure authentication flows including OAuth, OIDC, PKCE, biometrics, secure storage, and token lifecycle management.
• Integrate native iOS (Swift) and Android (Kotlin) modules for SDKs such as payments, fraud detection, analytics, push notifications, and device security.
• Optimize mobile applications for performance, startup time, bundle size, memory usage, rendering performance, and offline caching.
• Establish and manage CI/CD pipelines for mobile applications using tools such as Fastlane, EAS Build, App Store Connect, and Google Play Console.
• Lead release management, versioning strategy, and store compliance processes.
• Ensure adherence to mobile security best practices, privacy compliance, and accessibility standards.
• Collaborate with backend teams to define API contracts and optimize mobile-backend interactions.
• Champion automated testing and code quality using Jest, React Native Testing Library, and Detox.
• Mentor engineers and promote a culture of ownership, craftsmanship, and continuous improvement.
• Participate in architecture reviews and roadmap planning for long-term mobile platform scalability.

What You Bring to the Table

• Strong hands-on experience building production-grade applications using React Native and TypeScript.
• Deep understanding of the Expo ecosystem, including EAS, OTA updates, and build pipelines.
• Expertise in mobile architecture patterns such as Clean Architecture, MVVM, and modular architectures.
• Experience integrating native iOS (Swift) and Android (Kotlin) modules into React Native applications.
• Strong understanding of mobile app lifecycle, memory management, threading, and performance optimization.
• Experience implementing push notifications, deep linking, analytics SDKs, and mobile security frameworks.
• Familiarity with authentication frameworks including OIDC, OAuth, and PKCE.
• Experience with REST or GraphQL API integrations, network resiliency, and offline-first design.
• Strong knowledge of mobile DevOps, CI/CD pipelines, and release governance.
• Experience working in Agile development environments and collaborating with cross-functional teams.
• Ability to balance hands-on development with architectural leadership.

Basic Qualifications and Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 10+ years of software development experience.
• 6+ years of hands-on mobile development experience.
• 4+ years leading React Native applications in production environments.
• Proven experience delivering mobile applications to the Apple App Store and Google Play Store.
• Experience working with cloud-based backends such as AWS, Azure, or GCP.
• Strong experience with CI/CD pipelines, automated testing, and DevOps best practices.
• Demonstrated technical leadership and mentorship experience.
• Strong analytical and problem-solving skills with the ability to make strategic architectural decisions.

Mandatory Skills

• React Native
• Native iOS (Swift)

Preferred Skills

• TypeScript
• Android (Kotlin)
• Expo / EAS
• Redux / Zustand
• CI/CD (Fastlane, App Store Connect, Google Play Console)