Software Engineer (Human Data Platforms)
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Key skills for this role
Role Overview
Design, develop, and maintain scalable data platforms that process and analyze human-generated datasets.
Work on a full-time basis in a distributed team environment focused on robust data infrastructure.
Key Skills for This Role
Full Job Posting
Role Overview
Design, develop, and maintain scalable data platforms that process and analyze human-generated datasets.
Work on a full-time basis in a distributed team environment focused on robust data infrastructure.
Location
- Remote work from anywhere.
Payout
- Compensation is listed at $140K-$220K per year.
Key Responsibilities
- 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 improve scalability and performance of data systems.
Required Skills and Qualifications
- Proficiency in Python, Java, or Go for backend development.
- Experience with distributed systems, including Kafka, Spark, or similar technologies.
- Knowledge of 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 Docker and Kubernetes.
- Strong problem-solving skills and attention to detail in debugging complex systems.
Opportunity Context
Contribute to data platforms that support critical business decisions in a collaborative, distributed team environment.
The work involves solving complex technical challenges in data infrastructure and analytics.
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