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Stacking Jobs in Dallas, TX (NOW HIRING)

Full-Stack Developers Type: Contract-to-Hire Location: Hybrid - Dallas Tech Hub (Dallas, TX) or Fort Wayne, IN Role Overview We are seeking Full-Stack Developers with strong backend and integration ...

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Full Stack Engineer

Dallas, TX · On-site

$110K - $130K/yr

We are seeking a skilled Full Stack Engineer to design and develop robust web applications with expertise in both frontend and backend technologies. This role involves working with Angular and Spring ...

Full-stack Developer Location: USA Looking for Full-stack Developers (Mexico Only) - 4+ yoe as a Software Developer (Full Stack development) - Experience in web front-end development; React, Closure ...

Sr Full stack Developer Location: Plano, TX ( 3 days onsite 2 days remote) Only W2 candidate's required (look for nearby Candidates) Must Have Skills: Sr full stack developer (heavier back end) - ...

Full-Stack .NET Developer Contract-to-Hire Onsite - Fort Wayne, IN or Dallas, TX (Dallas Locals priority) Overview: Our retail client is actively interviewing and seeking experienced Full-Stack ...

Product Stacker

Dallas, TX · On-site

$18.73 - $19.23/hr

Product stackers perform shipping operation duties to ensure a quality product is packaged, prepared, and loaded for delivery to customers in a safe manner. Responsibilities : * Manual transfer of ...

Full Stack Developer Job Location: Coppell, TX Job Type: Contract * Looking for a strong full stack developer with experience in developing angular based data heavy web applications with Java, spring ...

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Stacking information

See Dallas, TX salary details

$10

$15

$19

How much do stacking jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for stacking in Dallas, TX is $15.80, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $16.63 per hour, depending on experience, location, and employer.

What is stacking?

Stacking in a warehouse job refers to the process of organizing and placing goods, boxes, or pallets in a systematic and safe manner, either by hand or using equipment like forklifts. The goal is to maximize space, ensure stability, and make retrieval easier while following safety guidelines. Proper stacking is essential to prevent damage to products and to maintain a safe working environment for all employees.

What is the difference between Stacking vs Data Analyst?

AspectStackingData Analyst
Required CredentialsTechnical skills, certifications in data stacking toolsDegree in statistics, data science, or related field; certifications like Microsoft or SAS
Work EnvironmentData processing, software development, technical teamsBusiness environments, reporting, data interpretation
Industry UsageTech, data engineering, software developmentFinance, marketing, healthcare, business intelligence

Stacking involves combining multiple data sources or models to improve performance, often requiring technical skills and familiarity with data tools. Data Analysts focus on interpreting data, creating reports, and providing insights. While both roles work with data, stacking is more technical and engineering-oriented, whereas data analysis emphasizes understanding and communicating data findings.

What are some common safety challenges when working in stacking roles, and how can they be managed?

Stacking roles often require handling heavy or awkwardly shaped items, which can pose safety risks such as strains, slips, or falling objects. To manage these challenges, employers typically provide safety training, enforce proper lifting techniques, and use equipment like forklifts or pallet jacks when appropriate. Team communication and adherence to safety protocols are essential for preventing accidents. It's also important to maintain clear, organized workspaces and to report any hazards immediately to supervisors.

What are the key skills and qualifications needed to thrive as a warehouse stacker?

To thrive as a Warehouse Stacker, you need physical stamina, attention to detail, and basic literacy or numeracy skills, often with a high school diploma or equivalent. Familiarity with warehouse management systems, pallet jacks, and barcode scanners is commonly required. Reliability, teamwork, and a focus on safety are valuable soft skills in this role. These competencies are crucial for maintaining efficient operations, minimizing errors, and ensuring workplace safety in warehouse environments.
What cities near Dallas, TX are hiring for Stacking jobs? Cities near Dallas, TX with the most Stacking job openings:
Infographic showing various Stacking job openings in Dallas, TX as of August 2026, with employment types broken down into 81% Full Time, 11% Part Time, 1% Temporary, 4% Contract, and 3% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $32,860 per year, or $15.8 per hour.

Full-time

Re-posted 28 days ago


Job description

Hi ,
Greetings from Smart Work IT Services.
Title: Full Stack Java Engineer (Java + React + AI Exposure)
Location: Dallas, TX - In Person Interview (Final Level) - Onsite
Key Responsibilities
  • Design, develop, and enhance enterprise-grade full-stack applications using Java and React.
  • Modernize and maintain legacy Java-based systems while building scalable enhancements.
  • Develop and support client-facing portals using React or similar modern front-end frameworks.
  • Work across multiple technologies and systems in a polyglot engineering environment.
  • Integrate AI/agentic capabilities into existing workflows and applications.
  • Build and support lightweight Python-based AI integrations and automation components.
  • Collaborate across engineering teams to evolve application architecture and platform capabilities.
  • Contribute to technical design, system integration, debugging, and performance optimization efforts.

Required Technical Skills
Full Stack Engineering (Primary Requirement)
  • Strong hands-on experience in Java backend development.
  • Proven expertise building and supporting complex full-stack applications.
  • Strong experience with React.js or comparable modern front-end frameworks.
  • Experience working with enterprise applications spanning legacy and modern architectures.
  • Comfortable navigating and contributing across multiple layers of the application stack.

Polyglot Engineering Capability
  • Ability to work across multiple languages and technology stacks.
  • Comfortable contributing beyond a single-stack specialization.
  • Strong engineering fundamentals with adaptability across evolving technologies.

AI / Agentic Systems Exposure (Important Secondary Requirement)
We are not looking for:
  • Pure AI/ML researchers or specialists.
  • Deep model-training or core ML engineering profiles.
  • Candidates limited exclusively to Python/LLM development.

We are looking for engineers who have:
Experience integrating AI or agentic workflows into business applications.
• Practical exposure to Python-based custom development.
• Experience building AI-assisted workflows such as:
OCR + LLM-driven document extraction
Validation against contracts, leases, or business rules
Intelligent payment or invoice verification systems
Agentic workflow orchestration
• Familiarity with Foundry-like or agentic development environments is a plus.
Preferred Candidate Profile
We strongly prefer strong, fungible engineering generalists who:
  • Are exceptional Java + React full-stack engineers.
  • Can contribute to light-to-moderate AI/agentic engineering work.
  • Are comfortable learning and expanding into emerging LLM/agentic ecosystems over time.
  • Operate effectively across diverse and evolving enterprise systems.

What We Want to Avoid
  • Pure Java-only engineers unwilling to work across broader systems.
  • Pure AI/ML specialists without strong full-stack engineering capability.
  • Candidates unable to comfortably navigate full-stack enterprise applications.
  • Highly narrow specialists with limited adaptability across technologies.

Evaluation Criteria
Primary Evaluation
  • Demonstrated expertise in Java + React full-stack development on complex enterprise systems.

Secondary Evaluation
  • Evidence of integrating or building AI/agentic capabilities using Python or similar technologies.

Mindset & Engineering Style
  • Strong utility mindset.
  • Flexibility and adaptability across technologies.
  • Comfort operating in fast-evolving technical environments.
  • Preference for broad engineering capability over narrow specialization.