We are hiring for one of our clients, a global leader in Software Development, Technology, and Data Infrastructure and Analytics, seeking a Software Engineer (Human Data Platforms) to design, develop, and maintain scalable data platforms that process and analyze human-generated datasets, fully remote.
 About the Role — Scalable Data Platform Engineering
Core Scope: Designing, developing, and maintaining scalable data platforms for human-generated datasets
Industry Context: Software Development, Technology, and Data Infrastructure and Analytics
Compensation: $140K – $220K/yr
Work Format: Fully remote, work from anywhere
Core Tech Stack: Python, Java, Go, Kafka, Spark, AWS/GCP/Azure, Docker, Kubernetes
 Career Impact & Remote Data Engineering Opportunity
Total Flexibility: Fully remote role, work from anywhere globally
Technical Ownership: Design and optimize data pipelines processing human-generated datasets at scale
Cross-Functional Collaboration: Work closely with data scientists and analysts on data integrity and accessibility
Career Growth: Solve complex technical challenges powering critical business decisions
Position Overview
The role involves designing, developing, and maintaining 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, working within a collaborative, distributed team environment.
Why This Role Matters:Â As Software Engineer, Human Data Platforms, you design, build, and optimize data pipelines to process human-generated datasets at scale, develop and maintain backend services supporting 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, and work with a global leader in data infrastructure and analytics, powering critical business decisions through robust, scalable technology.
Key Responsibilities
Data Pipeline Development
- Design, build, and optimize data pipelines to process human-generated datasets at scale
- Develop and maintain backend services supporting real-time and batch data processing
Collaboration & Data Integrity
- Collaborate with data scientists and analysts to ensure data integrity and accessibility
Platform Reliability & Monitoring
- Implement monitoring, logging, and alerting systems to maintain platform reliability
Architecture & Scalability
- Contribute to architectural decisions that enhance scalability and performance of data systems
Qualifications & Requirements
Essential Skills
- 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
About the Opportunity
This role offers a unique opportunity to work with a global leader in the Software Development, Technology, Information and Internet, Data Infrastructure and Analytics industry, 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, hiring is conducted by a staffing partner on behalf of the end client, and all qualified candidates are welcome regardless of background, experience, or prior employment history.
Career Excellence: Build specialized data platform engineering expertise with a global data infrastructure and analytics leader, in a fully remote, well-compensated role.
 Who Should Apply?
- Backend Software Engineers:Â Proficient in Python, Java, or Go
- Distributed Systems Specialists:Â Experienced with Kafka, Spark, or similar technologies
- Cloud Data Infrastructure Engineers:Â Familiar with AWS, GCP, or Azure
- Containerization Experts:Â Comfortable with Docker and Kubernetes orchestration
- Remote-First Data Engineers:Â Comfortable working across distributed, collaborative teams
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