Senior Software Engineer II, Data Solutions and Measurement

August 30

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Cint

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Market Research • B2B • SaaS

Cint is a leading global technology platform that provides a comprehensive marketplace for market research. The company operates the world's largest programmatic research marketplace, known as the Cint Exchange, which connects surveys with millions of respondents across 130 countries. Cint offers services such as media measurement and audience monetization, leveraging powerful technology to provide insights-driven companies with actionable data. With a focus on quality and trust, Cint uses advanced AI and machine learning tools to ensure the integrity and accuracy of the data collected. It serves a wide range of industries by offering tools for measuring the impact of advertising, conducting brand lift studies, and optimizing marketing strategies in real time. Cint is trusted by thousands of companies for its innovative approach to connecting businesses with the right survey participants efficiently and effectively.

1001 - 5000 employees

Founded 2004

🤝 B2B

☁️ SaaS

💰 Venture Round on 2016-01

📋 Description

• Senior Software Engineer II - Data Solutions & Measurement at Cint, a global software leader in digital insights • Join the international Measurement team to design, implement, scale, and maintain production systems • Build backend services powering our data analytics and insights platform • Collaborate with cross-functional teams and mentor junior engineers

🎯 Requirements

• 5+ years of hands-on professional backend software development experience • Degree in Computer Science or related field • Proficient programming skills in Java • Comfortable maintaining Python code • Familiarity with CI/CD pipelines and testing frameworks • Experience with API integration • Comfortable dealing with system complexity • Great sense of ownership • You enjoy pushing the limits of your knowledge and experience every day • Outstanding problem-solving and analytical skills • Enjoys working as part of a team and as a mentor • Background in data analytics tools such as Spark, Hive, Databricks, or similar • Experience with AWS, Docker, Kubernetes, SQL • Nice to have: Spring framework, microservices