Staff Software Engineer - Data Solutions & Measurement at Cint

, , Brazil -

Full Time

Start Date

Immediate

Expiry Date

04 Sep, 26

Salary

0.0

Posted On

06 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Python, PySpark, Spark, Kafka, Docker, SQL, NoSQL, REST APIs, Event-Driven Architecture, Big O Notation, Data Structures, Algorithms, AWS, GCP, Spring Framework

Industry

Software Development

Description

Company Description Cint is a global software leader in technology-enabled digital insights and research technology. The Cint platform automates the insights-gathering process so that companies can gain access to insights faster with unparalleled scale. Cint has one of the world’s largest consumer networks for digital survey-based research, made up of over 239 million engaged respondents across more than 130 countries. Over 4,600 insights-driven companies use Cint to accelerate how they gather consumer insights and supercharge business growth. Job Description The Cint Technology team is looking for a Staff Software Engineer to join our international Data Solutions & Measurement team. This position is for a software engineer who wants to raise the bar. Our business has been doubling in the last few years and so our systems need to scale to accommodate this growth.What You Will Do Our ideal candidate will have 20% of the time influencing junior/mid-level engineers and 80% focused on complex problems. This candidate considers themselves among the highly technical and likes to push the limits of their knowledge and experience every day. In this role, you will work on designing, implementing, scaling, and maintaining the code that powers our production systems. You will work with no supervision, ensuring timely and high-quality delivery. You will communicate and work closely across 3 teams (Outcomes, Methodology & Recruitment) and with related areas like product and data science. With great autonomy and freedom to innovate, you will play a key role in world-class research building the next generation of Cint products. Qualifications Day-Day of a Staff Engineer in the DSM Team: 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. Qualifications 10+ years of backend software engineering experience, with strong technical depth. We’re technology agnostic, so, you're more than welcome to switch your main language (Python, Scala, C/C++, Haskell, Elixir, Go, Ruby, etc...) to Java (our 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, real-time, high-volume systems with high-throughput and low-latency 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 Soft Skills: Strong problem-solving skills and a proactive, collaborative working style. Ability to communicate well with engineers and data science partners. 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. Additional Information #LI-JM1 #LI-Remote Our Values Collaboration is our superpower We uncover rich perspectives across the world Success happens together We deliver across borders. Innovation is in our blood We’re pioneers in our industry Our curiosity is insatiable We bring the best ideas to life. We do what we say We’re accountable for our work and actions Excellence comes as standard We’re open, honest and kind, always. We are caring We learn from each other’s experiences Stop and listen; every opinion matters We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com) Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.

Responsibilities

Design, implement, and scale backend systems that process large volumes of data for production-critical environments. Collaborate with data science and engineering teams to build high-throughput, low-latency integrations and migrate toward a domain-based architecture.