Sr. Software Engineer II - Data Solutions & Measurement
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Software Engineer II - Data Solutions & Measurement in Brazil.
This role sits at the core of a high-scale data and insights platform that processes massive volumes of real-time and batch information used by global enterprises to understand consumer behavior. You will work on performance-critical backend systems that power survey data ingestion, evaluation, and delivery across distributed architectures. The environment is highly technical and focuses on reliability, scalability, and low-latency data processing at global scale. You will contribute to the evolution of a platform transitioning from monolithic structures toward modern, domain-driven and event-based architectures. Working closely with engineers and data scientists, you will help design systems that directly influence business intelligence and measurement capabilities. This is a hands-on engineering role where your work will have visible impact on a Tier 1 production system.
Accountabilities:
In this role, you will be responsible for building and evolving backend systems that handle large-scale data processing and measurement workflows. You will contribute to architectural modernization efforts while ensuring high performance, scalability, and reliability across critical platform services.
- Design, build, scale, and maintain backend systems handling high-volume and performance-sensitive data workflows
- Develop and optimize event-driven and API-based integrations across distributed systems
- Support migration from monolithic architecture to domain-based and scalable system design
- Work on asynchronous, write-heavy systems powering core product functionality
- Investigate complex technical issues and implement robust, scalable solutions
- Collaborate closely with data scientists and engineering teams on system design and implementation
- Participate in shared engineering ownership models, contributing across team responsibilities
- 10+ years of backend software engineering experience with strong technical depth
- Strong understanding of algorithms, data structures, and system complexity analysis
- Experience with Python and/or PySpark in production environments
- Experience building and maintaining high-volume, distributed systems
- Familiarity with data processing technologies such as Spark, Kafka, Avro, Delta Lake, and Parquet
- Strong knowledge of REST APIs, event-driven architectures, SQL, and NoSQL databases
- Experience working in performance-sensitive, high-throughput production systems
- Strong communication, collaboration, and problem-solving abilities
- Degree in Computer Science, Computer Engineering, or related field preferred
- Competitive compensation package aligned with senior-level expertise
- Remote-friendly work environment
- Opportunity to work on large-scale global data infrastructure
- Exposure to modern data engineering and distributed system architectures
- Collaborative, engineering-driven culture with strong technical ownership
- Career growth in a globally distributed technology organization
Requirements:
This position requires extensive backend engineering experience in high-scale, data-intensive environments, along with strong problem-solving and collaboration skills. The ideal candidate is comfortable working with distributed systems, data processing frameworks, and performance-critical production systems.
Benefits:
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1