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Sports Technology Python Jobs (NOW HIRING)

Zenith services

Sports QA Tester

Berkeley Heights, NJ · On-site

Proficiency in languages like Java, Python, Go, or Kotlin used in modern sports tech stacks. * Automation Tooling: Experience with tools like Selenium, Playwright, Appium (for mobile), and REST ...

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GripFusion

Signal Processing Engineer

Ann Arbor, MI · On-site

$100K - $150K/yr

Description GripFusion is a sports-technology startup building next-generation intelligent sporting ... Expert level knowledge of Python, Jupyter Notebooks. * Experience working with complex, high ...

GripFusion

Signal Processing Engineer

Ann Arbor, MI · On-site

Description GripFusion is a sports-technology startup building next-generation intelligent sporting ... Expert level knowledge of Python, Jupyter Notebooks. * Experience working with complex, high ...

GripFusion

Signal Processing Engineer

Ann Arbor, MI · On-site

$100K - $150K/yr

Description GripFusion is a sports-technology startup building next-generation intelligent sporting ... Expert level knowledge of Python, Jupyter Notebooks. * Experience working with complex, high ...

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Sports Technology Python information

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How much do sports technology python jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for sports technology python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Sports Technology Python professional?

A Sports Technology Python professional is someone who uses Python programming to develop software, analyze data, and create technological solutions in the sports industry. They may work on projects such as performance tracking, data visualization, predictive analytics, or developing apps and tools for athletes, teams, and coaches. Their work helps improve athletic performance, fan engagement, and decision-making by leveraging Python's capabilities in data science, machine learning, and automation. Typical employers include sports organizations, analytics firms, and technology companies focused on sports innovation.

How do professionals in Sports Technology Python typically collaborate with coaches and analysts to deliver actionable insights?

In Sports Technology Python roles, collaboration with coaches and analysts is frequent and essential. Professionals in this area often work closely with these stakeholders to understand their tactical objectives and data needs, then translate raw data into meaningful visualizations or reports using Python-based tools. Regular meetings and iterative feedback loops are common, ensuring that the technical solutions developed actually support performance improvement and decision-making on and off the field. This collaborative environment helps bridge the gap between technical data analysis and practical, real-world sports applications.

What are the key skills and qualifications needed to thrive as a Sports Technology Python Developer, and why are they important?

To excel as a Sports Technology Python Developer, you need strong proficiency in Python programming, data analysis, and a solid understanding of sports science or analytics, often backed by a degree in computer science, engineering, or a related field. Familiarity with data visualization tools (like Matplotlib or Plotly), machine learning libraries (such as scikit-learn or TensorFlow), and experience with sports data APIs are typically required. Outstanding problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills enable accurate data-driven insights, innovative sports technology solutions, and effective collaboration with multidisciplinary teams.
Sports QA Tester

Sports QA Tester

Zenith services

Berkeley Heights, NJ • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a Sports QA Resource having 8+ years of professional experience creates, maintains, and executes automated testing frameworks to ensure the reliability, performance, and security of high-volume transaction systems and real-time data feeds. Key responsibilities include designing API and UI test automation (Python/Java), validating financial logic/ledger reconciliation, and simulating peak load traffic.

This role requires close collaboration with cross‑functional teams, adherence to Engineering standards, Architecture patterns and Agile practices, and ownership of service quality and delivery.

Key Responsibilities

  • Automation Strategy: Build and maintain scalable test automation frameworks for Web, Mobile, and API, specifically targeting API (REST Assured) and Web (Selenium).
  • Validation: Validate complex financial flows, including multi-party payments, ledger reconciliation, and data accuracy, as SDET role.
  • Framework Development: Build and maintain robust automation frameworks for web, mobile (iOS/Android), and APIs to enable continuous delivery.
  • Performance Testing: Perform high-performance load testing to simulate peak transaction events, as described in this Built In job listing.
  • CI/CD Integration: Integrate test suites into CI/CD pipelines (Jenkins/Argo) for continuous testing.
  • Code Quality: Actively contribute to code reviews and write unit tests to ensure high test coverage
  • Real-time Data Validation: Ensure the accuracy of complex transaction calculations and live sports betting odds that must update in milliseconds.
  • Security & Compliance Testing: Validate secure payment gateways, authentication protocols (OAuth2, JWT), and anti-fraud measures critical for products.
  • CI/CD Integration: Integrate automated test suites into pipelines (e.g., Jenkins, GitLab CI) to catch bugs early in the development lifecycle.
  • Cross-functional Collaboration: Work closely with product managers and developers to define "testable" requirements for new fan-engagement or financial features

Mandatory Technical Skills & Competencies

  • Languages: Strong proficiency in Python or Java.
  • Automation Tools: Selenium, Cucumber BDD, RestAssured, or Playwright/Cypress.
  • Database: Excellent SQL skills for verifying financial data, according to this Build In job listing.
  • Infrastructure: Experience with cloud services (GCP) and containerization
  • Programming Expertise: Proficiency in languages like Java, Python, Go, or Kotlin used in modern sports tech stacks.
  • Automation Tooling: Experience with tools like Selenium, Playwright, Appium (for mobile), and REST Assured (for APIs).
  • Knowledge of monitoring tools such as Prometheus, Grafana, or ELK stack.
  • Understanding of distributed tracing and logging.
  • Cloud concepts like fundamentals, App Configuration / App Settings, Key Vault, Cache, Service Bus (queues/topics), Event driven architecture, Blob Storage, cloud security, scalability, and resiliency patterns
  • Understanding of Microservice Development design, implementation, Middleware (Kafka), filters, exception handling, logging, Authentication and authorization (JWT/OAuth concepts), Performance optimization and secure coding practices
  • Agile and Collaboration Tools: Sprint planning, work item tracking, and agile delivery, Technical documentation and knowledge sharing