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Walmart Labs Software Engineer Jobs in Florida (NOW HIRING)

Tech Lead, Data & Inference Engineer

Miami, FL · On-site

$109K - $131K/yr

Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking a Tech Lead, Data & Inference Engineer to design, develop, and scale a data ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

New

... labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Senior Software Engineer Expert ...

Drive rigorous manual and system-level testing in integration labs and hardware-in-the-loop (HWIL ... Collaborate with systems engineers, software developers, and program stakeholders to define ...

The Role Istari's software doesn't just get handed off, it gets deployed into some of the most complex engineering environments in aerospace and defense. As a Forward Deployed Engineer, you'll be ...

Showing results 41-60

Walmart Labs Software Engineer information

See Florida salary details

$47.5K

$110.2K

$153.6K

How much do walmart labs software engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for walmart labs software engineer in Florida is $110,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $129,300.00 per year, depending on experience, location, and employer.

What does a Walmart Labs software engineer do?

A Walmart Labs Software Engineer is responsible for designing, developing, and maintaining software solutions that power Walmart's digital platforms and online retail operations. They work on projects involving cloud computing, big data, e-commerce, and mobile applications, collaborating with cross-functional teams to deliver scalable and efficient technology solutions. These engineers use modern programming languages and frameworks to solve complex business problems and enhance the customer experience. Their work supports both backend systems and customer-facing technologies at Walmart.

What types of projects do Walmart Labs software engineers typically work on, and how do these projects impact the company's operations?

Software Engineers at Walmart Labs are often involved in developing and maintaining large-scale, high-impact applications that support Walmart’s e-commerce, supply chain, and in-store operations. Projects can range from building scalable backend systems and microservices to creating advanced data analytics tools and customer-facing platforms. These projects directly influence the efficiency, reliability, and user experience of Walmart’s global retail ecosystem. Collaboration is key, as engineers frequently work in cross-functional teams with product managers, designers, and data scientists to deliver innovative solutions that drive business growth.

What are the key skills and qualifications needed to thrive as a Walmart Labs software engineer, and why are they important?

To thrive as a Walmart Labs Software Engineer, you need strong programming skills (such as Java, Python, or JavaScript), a solid understanding of computer science fundamentals, and typically a bachelor’s degree in computer science or related field. Familiarity with cloud platforms (like Azure or Google Cloud), CI/CD pipelines, and modern frameworks is often required, along with experience using tools like Git and Kubernetes. Collaboration, problem-solving, and adaptability are standout soft skills for navigating cross-functional teams and fast-paced projects. These skills and qualities are essential for building scalable, reliable systems that support Walmart’s global e-commerce operations.

What is the difference between Walmart Labs Software Engineer vs Walmart Labs Data Engineer?

AspectWalmart Labs Software EngineerWalmart Labs Data Engineer
Required CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS, Data Science, or related field, SQL and data tools knowledge
Work EnvironmentDeveloping applications, coding, debuggingBuilding data pipelines, managing data infrastructure
Employer & Industry UsageSoftware development teams at Walmart LabsData teams focusing on analytics and data infrastructure
Common Search & Comparison IntentUnderstanding software development roles at Walmart LabsUnderstanding data-focused roles at Walmart Labs

Walmart Labs Software Engineers focus on developing and maintaining applications, coding, and debugging software solutions. In contrast, Walmart Labs Data Engineers specialize in building data pipelines, managing data infrastructure, and enabling analytics. Both roles require technical skills but differ in their core responsibilities and focus areas within Walmart Labs' tech ecosystem.

Does Walmart Labs Software Engineer have software engineers?

A Walmart Labs Software Engineer is a software professional working within Walmart's technology division. They typically collaborate with other engineers, developers, and technical teams to build and maintain software solutions. The role often involves coding, debugging, and using tools like Java, Python, or cloud platforms.

What job categories do people searching Walmart Labs Software Engineer jobs in Florida look for?

The top searched job categories for Walmart Labs Software Engineer jobs in Florida are:

Infographic showing various Walmart Labs Software Engineer job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,243 per year, or $53 per hour.

Tech Lead, Data & Inference Engineer

Catalyst Labs

Miami, FL • On-site

$109K - $131K/yr

Full-time

Re-posted 6 hours ago


Job description

Job Summary:
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking a Tech Lead, Data & Inference Engineer to design, develop, and scale a data platform that transforms diverse data sources into reliable business insights, while mentoring engineers and promoting best practices across the organization.
Responsibilities:
• Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use.
• Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems.
• Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte.
• Conduct root cause analysis and provide long lasting solutions.
• Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation.
• Manage version control, caching and evaluation loops.
• Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making.
• Guide architectural decisions across the data lake and the entire pipeline stack.
• Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally.
• Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases.
• Mentor engineers, review code and raise the overall technical standard across teams.
• Promote data driven best practices throughout the organization.
Qualifications:
Required:
• Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics.
• Excellent written and verbal communication; proactive and collaborative mindset.
• Comfortable in hybrid or distributed environments with strong ownership and accountability.
• A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes.
• Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly.
• 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design.
• Expert SQL (query optimization on large datasets) and Python skills.
• Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect).
• Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability.
• Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure).
Preferred:
• Strong Node.js skills for faster onboarding and system integration.
• Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.
Company:
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force. Founded in , the company is headquartered in London, GB, , with a team of 11-50 employees. The company is currently Early Stage.