Sr. Software Engineer II - Data Solutions & Measurement in Brazil, Indiana at Jobgether

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.

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

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.

• 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