Software Engineer (Human Data Platforms)

About the role

We are hiring a Software Engineer to design, develop, and maintain scalable data platforms that process and analyze human-generated datasets. The position requires expertise in handling large-scale data infrastructure while ensuring performance, reliability, and security.

Responsibilities

• Design, build, and optimize data pipelines to process human-generated datasets at scale.
• Develop and maintain backend services that support real-time and batch data processing.
• Collaborate with data scientists and analysts to ensure data integrity and accessibility.
• Implement monitoring, logging, and alerting systems to maintain platform reliability.
• Contribute to architectural decisions that enhance scalability and performance of data systems.

Requirements

• Proficiency in Python, Java, or Go for backend development.
• Experience with distributed systems, including Kafka, Spark, or similar technologies.
• Knowledge of cloud platforms such as AWS, GCP, or Azure for data infrastructure.
• Familiarity with SQL and NoSQL databases for data storage and retrieval.
• Understanding of data governance, security, and compliance best practices.
• Ability to design and optimize data pipelines for performance and scalability.
• Experience with containerization and orchestration tools like Docker and Kubernetes.
• Strong problem-solving skills and attention to detail in debugging complex systems.

More about the opportunity

This role offers a unique opportunity to work with a global leader in data infrastructure and analytics, contributing to the development of robust data platforms that power critical business decisions. The position involves solving complex technical challenges in a collaborative, distributed team environment.

Pay

$140K - $220K/yr

Location: Remote (Work from Anywhere) | Job Type: Full-Time