Senior Software Engineer II – Data Solutions, Measurement

🕒 June 4

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Cint

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🤝 B2B

☁️ SaaS

💰 Venture Round on 2016-01

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.

📋 Description

• Design, implement, scale, and maintain backend systems that process large volumes of data. • Work on event-driven and API-based integrations. • Contribute to migration efforts toward a more domain-based and scalable architecture. • Build and optimize software for performance-sensitive workflows. • Investigate technical problems and propose solutions together with the team. • Collaborate closely with data science and engineering colleagues on technical solutions. • Participate in a collaborative development model where work is shared rather than handled alone.

🎯 Requirements

• 10+ years of backend software engineering experience, with strong technical depth. • We’re technology agnostic, so, you're more than welcome to switching your main language (Python, Scala, C/C++, Haskell, Elixir, Go, Ruby) to Java (core language) • Solid understanding of algorithms (HashTables, Maps, etc.) , data structures (Anomaly Detection, Dynamic Routing, etc.), Big O notation, Architecture (event-drive-architecture). • Familiarity with heavy data processing tools and technologies such as Spark, Apache ecosystem tools, Delta Lake, Parquet, Kafka, and Avro. • Experience with Python and/or PySpark • Experience building or maintaining complex, high-volume systems • Experience with Docker, SQL, and NoSQL databases. • Experience with REST APIs and event-driven integrations. • Comfortable working in performance-oriented, production-critical environments with high-throughput & low talency systems. • Academic Background: Computer science, computer engineering or a related field is preferred. • Nice to Have Experience with AWS, GCP or other cloud providers • Experience with Pandas. • Experience with Spring framework and microservices. • Experience working in large-scale data or analytics environments.

🏖️ Benefits

• Remote work options