Human Data Engineer (Remote)
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Key skills for this role
About the Role
We are hiring a Software Engineer (Human Data Platforms) on a contractual basis to design and maintain scalable data infrastructure for human-centric AI applications. Requires 3+ years of experience in software engineering with Python and backend systems, plus knowledge of distributed systems and cloud platforms.
Key Skills for This Role
Responsibilities
- Design and implement scalable backend systems for processing structured and unstructured human data at scale
- Develop RESTful APIs and microservices to support the ingestion, transformation, and delivery of human data to downstream AI models
- Collaborate with data scientists and ML engineers to optimize data pipelines for training and inference workflows
- Implement robust error handling, logging, and monitoring to ensure data integrity and system reliability
- Write automated tests and contribute to CI/CD pipelines to maintain high standards of code quality and deployment automation
Requirements
- 3+ years of experience in software engineering with a focus on data platforms or backend systems
- Proficiency in Python and at least one additional language such as Java or Go
- Experience with distributed systems, message queues, and database technologies (e.g., Kafka, PostgreSQL, Redis)
- Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes
- Familiarity with data serialization formats (JSON, Avro, Protobuf) and API design best practices
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Software Engineer (Human Data Platforms) to work on a contractual basis.
- This role involves designing, developing, and maintaining scalable data infrastructure to support human centric AI applications.
- The work directly impacts the reliability and performance of platforms processing large scale human data for machine learning models.
- Focus will be on optimizing data pipelines and ensuring seamless integration between human data sources and AI systems.
Key Responsibilities
- Design and implement scalable backend systems for processing structured and unstructured human data at scale.
- Develop RESTful APIs and microservices to support the ingestion, transformation, and delivery of human data to downstream AI models.
- Collaborate with data scientists and ML engineers to optimize data pipelines for training and inference workflows.
- Implement robust error handling, logging, and monitoring to ensure data integrity and system reliability.
- Write automated tests and contribute to CI/CD pipelines to maintain high standards of code quality and deployment automation.
Required Skills & Qualifications
- 3+ years of experience in software engineering with a focus on data platforms or backend systems.
- Proficiency in Python and at least one additional language such as Java or Go for scalable backend development.
- Experience with distributed systems, message queues, and database technologies (e.g., Kafka, PostgreSQL, Redis).
- Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes.
- Familiarity with data serialization formats (JSON, Avro, Protobuf) and API design best practices for high throughput systems.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of next generation AI platforms powered by human data.
- The position provides exposure to cutting edge challenges in data infrastructure and the chance to influence architectural decisions that scale with user demand.
- Contractual flexibility allows for engagement across multiple projects within the organization.
Equal Opportunity Employer
- We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history.
- Applications are reviewed solely on demonstrated technical ability and qualifications.
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