Software Engineer - Human Data Platforms (Remote)
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Key skills for this role
About the Role
Hired is hiring for a client seeking a Software Engineer (Human Data Platforms) to design, develop, and maintain scalable data platforms processing human-generated datasets. The role requires proficiency in Python, Java, or Go, experience with distributed systems and cloud platforms, and knowledge of data governance.
Key Skills for This Role
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
- 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
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Software Engineer (Human Data Platforms) to work on a full time basis. The role involves designing, developing, and maintaining scalable data platforms that process and analyze human generated datasets. The position requires expertise in handling large
Key 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.
Required Skills & Qualifications
- 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.
Compensation
- $140K $220K/yr
Location & Type
- Remote (Work from Anywhere)
- Full Time
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