Software Engineer - Human Data Platforms (Remote)

Role : Software Engineer - Human Data Platforms (Remote)

• Location : Remote (Work from Anywhere)
• Job Type : Full-Time
• Payout : $140K - $220K/yr

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-scale data infrastructure while ensuring performance, reliability, and security.

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.

More 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.

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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