Remote opportunity at
HostPapaSenior Data Engineer
HostPapa and its parent company, Managed.com, are seeking a Senior Data Engineer to design and develop the data and analytics platform for CloudBlue, a business powering…
Career Tools
About This Role
HostPapa and its parent company, Managed.com, are seeking a Senior Data Engineer to design and develop the data and analytics platform for CloudBlue, a business powering cloud commerce for service providers worldwide. This remote-first role focuses on building scalable data infrastructure, establishing real-time ingestion pipelines, and embedding artificial intelligence into backend workflows and APIs across a cloud-native SaaS environment. This position suits an experienced software engineer who specializes in data-intensive…
Job Description
HostPapa and its parent company, Managed.com, are seeking a Senior Data Engineer to design and develop the data and analytics platform for CloudBlue, a business powering cloud commerce for service providers worldwide. This remote-first role focuses on building scalable data infrastructure, establishing real-time ingestion pipelines, and embedding artificial intelligence into backend workflows and APIs across a cloud-native SaaS environment.
This position suits an experienced software engineer who specializes in data-intensive systems, event-streaming technologies, and AI-driven development. Team members operate in an international, distributed setting, collaborating closely with product managers, engineering managers, and small cross-functional squads.
Managed.com oversees a family of technology and infrastructure brands including HostPapa, ColoCrossing, Hostopia, CloudBlue, and LogoMaker. The organization emphasizes trust, respect, and professional growth opportunities as its brands unite to support businesses operating in the artificial intelligence era.
Responsibilities
- Construct and maintain a high-performance data fabric involving real-time data ingestion, pipelines, storage, and analytics.
- Manage features from initial technical design through implementation, testing, and production deployment.
- Promote AI adoption throughout the platform by creating AI-powered workflows and capabilities.
- Design and incorporate APIs linking data, services, and business processes across the CloudBlue ecosystem.
- Collaborate with small cross-functional feature teams and product managers to translate business needs into technical solutions.
- Maintain data quality, reliability, observability, and performance across production data pipelines.
- Coordinate with the Engineering Manager regarding professional growth and career progression.
Requirements
- Professional software engineering background with experience building data-intensive systems.
- Extensive history of developing data pipelines and data models for production-scale workloads.
- Hands-on programming experience using Python.
- Expertise in event-streaming technologies such as Kafka, NATS, or Flink.
- Experience utilizing cloud-native infrastructure including Azure, AWS, or GCP alongside containerized workloads with Docker and Kubernetes.
- Comprehension of data contracts, data quality standards, pipeline observability, and production SLOs.
- Practical experience with AI-assisted development tools and a strong interest in applying AI to engineering problems.
- Background in API design and integration.
- Knowledge of PostgreSQL and relational databases.
- Experience performing unit and end-to-end testing for production-ready systems.
- Professional working proficiency in English for collaboration in a distributed environment.
Qualifications
- Familiarity with billing, finance, or usage-based and metered monetization.
- Exposure to integrating large language models or AI services such as RAG, MCP, agent runtimes, and Anthropic or OpenAI APIs.
- Experience with modern lakehouse or data federation patterns including Iceberg or Trino.
Core Skills
Benefits
- Remote-first work structure across various countries
- Competitive compensation benchmarked against local hiring markets
- Opportunities for professional development and ownership of work
- Working flexibility regarding how and when tasks are completed within team core hours
- Access to AI tools with room for experimentation
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, this is a remote-first role with team members distributed across multiple countries. The posting notes that the position is anticipated to be performed outside of Ontario.
What is the employment type?
The employment type is full-time.
What is the salary for this role?
The posting does not specify a salary, though it notes that compensation is competitive and benchmarked against the markets where they hire.
What technical experience is essential for this role?
Candidates must have professional software engineering experience with data-intensive systems, data pipelines, Python, event-streaming tools like Kafka or Flink, cloud-native infrastructure, and API design.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.