[Hiring] Data Engineer @Prolific

Role Description

We're looking for a Data Engineer to help build scalable data solutions that serve teams across the business—from data scientists and analysts to AI engineers and product teams. You'll contribute to both the underlying platform and the way data is used in our products, working in a modern, cloud-native environment where privacy, security, and good data practices are part of how we build.

Qualifications

• 3+ years building and shipping production-grade data systems
• Strong SQL skills and proficiency in Python or another object-oriented language (Java, Scala, etc.)
• Familiarity with cloud-native infrastructure, ideally some exposure to Terraform, Kubernetes, or similar IaC and container orchestration tools
• Experience designing data APIs or services that expose data to applications, or a strong interest in working across the analytical/operational boundary
• A thoughtful approach to data quality, privacy, and security
• Strong collaboration skills and comfort working across teams with different priorities
• A pragmatic, curious mindset
• Hands-on experience with data pipeline tools (Airflow, dbt)
• Commitment to continuously improving product quality, security, and performance
• Meticulous approach to creating and maintaining architecture and systems documentation
• Exceptional analytical skills to troubleshoot complex data issues
• Capability to ship medium features independently while contributing to the team's overall objectives

Requirements

• Build and maintain data pipelines that power analytics, ML workloads, and product-facing applications
• Evolve our data platform alongside cloud platform engineers using infrastructure-as-code (Terraform) and Kubernetes-based deployments (Argo)
• Design and implement scalable data infrastructure that accommodates our growing data volume and complexity
• Develop data services and APIs that expose trusted data to product applications
• Own data quality and observability, putting monitoring, testing, and alerting in place
• Partner with AI engineers, data scientists, analysts, and product teams to understand their data needs
• Uphold strong data privacy, security, and compliance practices
• Create and maintain comprehensive documentation of data flows, models, and systems
• Ensure all data systems adhere to security best practices and compliance requirements

Benefits

• Competitive salary
• Remote working opportunities
• Impactful, mission-driven culture