Data Engineer building scalable Databricks ingestion pipelines for Irth Solutions’ infrastructure - protection SaaS. Supporting stakeholder - engagement analytics, LLM/NLP pipelines, and downstream data models.
About the role
- Senior Data Engineer building scalable, AI-powered data infrastructure for CloudBlue, HostPapa’s cloud commerce platform. Developing real-time pipelines, APIs, and production analytics systems.
Responsibilities
- 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
Job title
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Experience level
Salary
Not specified
Degree requirement
No Education Requirement
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