Senior Data Engineer

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HostPapa

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2006

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

HostPapa is a web hosting company that provides a variety of hosting solutions including shared web hosting, WordPress hosting, VPS hosting, and reseller hosting. They also offer additional services such as domain registration, website building tools, business email services, and security features like SSL certificates. HostPapa prides itself on its 24/7 award-winning customer support available globally, ensuring that customers receive assistance in their preferred language and timezone. With a focus on small businesses, HostPapa aims to empower customers to achieve their online goals with reliable and high-performance hosting services.

📋 Description

• Build and maintain a high-volume, high-performance data fabric, including real-time ingestion, data pipelines, storage, and analytics • Own features end to end, from technical design and implementation through testing and production • Drive AI adoption across the platform and develop AI-powered workflows and capabilities • Design and integrate APIs connecting data, services, and business workflows across the CloudBlue ecosystem • Work closely with engineers in small, cross-functional feature teams • Collaborate with Product Managers and other CloudBlue teams to translate business needs into scalable technical solutions • Ensure data quality, reliability, observability, and performance across production pipelines • Partner with the Engineering Manager on professional growth and career development • Support other tasks or projects as assigned to meet team and business needs

🎯 Requirements

• Strong professional software engineering experience building data-intensive systems • Extensive experience building data pipelines and data models, including production-scale data workloads • Hands-on experience with Python • Strong expertise with event-streaming technologies such as Kafka, NATS, Flink, or similar; streaming experience is essential • Experience with Azure, AWS, or GCP • Experience with Docker and Kubernetes • Solid understanding of data contracts, data quality, pipeline observability, and production SLOs • Hands-on experience with AI-assisted development tools • Strong experience designing and integrating APIs • Solid knowledge of PostgreSQL and relational databases • Experience with unit and end-to-end testing and building reliable, production-ready systems • Professional working proficiency in English • Familiarity with billing, finance, or usage-based/metered monetization is a plus • Exposure to LLMs or AI services, such as RAG, MCP, agent runtimes, Anthropic/OpenAI APIs, or similar technologies, is an advantage • Experience with modern lakehouse or data federation patterns, such as Iceberg, Trino, or similar technologies, would be beneficial

🏖️ Benefits

• Career advancement & professional development opportunities • Flexible work arrangements to support work/life balance • Work from anywhere / remote opportunity • Competitive salary