Human Data Engineer (Remote)
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About the Role
Role: Human Data Engineer (Remote) Location: Remote (Work from Anywhere) * Payout: Competitive, based on experience Role Overview: We are hiring for one of our clients, seeking a Software Engineer (Human Data Platforms) to work on a contractual basis.
Key Skills for This Role
Full Job Posting
Overview
- **Role**
: Human Data Engineer (Remote)
- **Location**
- : Remote (Work from Anywhere)
- **Payout**
- : Competitive, based on experience
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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