Cint Logo

Cint

Staff Software Engineer - Data Solutions & Measurement

Posted 2 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Remote, OR
Expert/Leader
In-Office or Remote
Hiring Remotely in Remote, OR
Expert/Leader
Design, implement, scale, and maintain backend systems that process large data volumes. Build event-driven and API-based integrations, migrate toward domain-based scalable architecture, optimize performance-sensitive workflows, and collaborate with Outcomes, Methodology, Recruitment, product, and data science teams to resolve complex technical problems.
The summary above was generated by AI
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.

    Similar Jobs

    2 Hours Ago
    In-Office or Remote
    Expert/Leader
    Expert/Leader
    Software
    Design, implement, scale, and maintain backend systems that process large volumes of data. Build event-driven and API-based integrations, migrate toward domain-based scalable architecture, optimize performance-sensitive workflows, troubleshoot production issues, and collaborate with product and data science. Mentor junior engineers and deliver high-throughput, low-latency production systems.
    Top Skills: Apache EcosystemSparkAvroAWSC/C++Delta LakeDockerElixirGCPGoHaskellJavaKafkaMicroservicesNoSQLPandasParquetPysparkPythonRest ApisRubyScalaSpringSQL
    2 Hours Ago
    In-Office or Remote
    Expert/Leader
    Expert/Leader
    Software
    Design, implement, scale, and maintain backend systems processing large data volumes. Build event-driven and API integrations, migrate toward domain-based architecture, optimize performance-sensitive workflows, investigate technical problems, collaborate with product and data science, and mentor junior/mid-level engineers.
    Top Skills: Apache Ecosystem ToolsAvroAWSCC++Delta LakeDockerElixirGCPGoHaskellJavaKafkaMicroservicesNoSQLPandasParquetPysparkPythonRest ApiRubyScalaSparkSpringSQL
    21 Hours Ago
    In-Office or Remote
    Expert/Leader
    Expert/Leader
    Software
    Design, implement, scale, and maintain backend systems that process large volumes of data. Build/event-driven and API-based integrations, optimize performance-sensitive workflows, lead migrations to domain-based architecture, investigate technical issues, and collaborate closely with data science and cross-functional teams while mentoring junior engineers.
    Top Skills: Apache EcosystemAvroDelta LakeDockerEvent-Driven IntegrationsJavaKafkaNoSQLParquetPysparkPythonRest ApisSparkSQL

    What you need to know about the Charlotte Tech Scene

    Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

    Key Facts About Charlotte Tech

    • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
    • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
    • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
    • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
    • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
    • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

    Sign up now Access later

    Create Free Account

    Please log in or sign up to report this job.

    Create Free Account