Senior Data Engineer
At a glance
Senior Data Engineering role at HostPapa. Remote · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and run the platform’s real-time data intake, pipelines, storage and analytics for high-volume workloads
- Take features from technical planning through coding, testing and release into production
- Create AI-enabled workflows and capabilities, and expand practical AI use across the platform
- Connect data, services and business processes through APIs, while keeping production pipelines reliable and observable
- Work with small engineering teams and product partners to turn business needs into scalable technical solutions
What you bring
- Strong software engineering experience building data-intensive systems, including production data pipelines and models
- Practical Python experience and essential background with real-time streaming tools such as Kafka, NATS or similar
- Experience with cloud infrastructure and containerized systems, plus Docker and Kubernetes
- A solid grasp of data contracts, data quality, pipeline monitoring and production service targets
- Professional English proficiency and experience designing APIs, relational databases, and reliable tested systems
Who this fits
This senior role suits an engineer who can own production data features and collaborate with distributed, cross-functional teams. The work is remote-first, with flexibility shaped by team core hours.
From the employer
Position Summary:
At managed.com, we're a remote-first, global team. We're also AI-first, so finding practical ways to use AI is part of every role here
This role focuses on CloudBlue, a managed.com business that powers cloud commerce for many of the world’s largest service providers, including major Telcos, distributors, and MSPs. CloudBlue enables partners to monetize and manage cloud services and subscriptions at scale, combining the agility of a high-growth business with the backing of a global organization.
As the Senior Data Engineer, you will help design, build, and evolve CloudBlue’s data and analytics platform, with a strong focus on AI-driven capabilities. You will build scalable data infrastructure and help embed AI into backend services, APIs, and business workflows across our cloud-native SaaS platform.
What you'll do
- 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 the adoption of AI across the platform and develop AI-powered workflows and capabilities
- Design and integrate APIs that connect 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
- Help ensure data quality, reliability, observability, and performance across production pipelines
- Partner with your Engineering Manager on professional growth and career development
- Support other tasks or projects as assigned to meet team and business needs
About you
- Strong professional software engineering experience, with a solid background in 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. This is a real-time platform, so streaming experience is essential
- Experience working with cloud-native infrastructure such as Azure, AWS, or GCP, as well as containerized workloads using Docker and Kubernetes
- Solid understanding of data contracts, data quality, pipeline observability, and production SLOs
- Hands-on experience with AI-assisted development tools, along with a genuine interest in applying AI to solve engineering problems and streamline development workflows
- 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, with the ability to collaborate effectively in a distributed, international environment
- Familiarity with billing, finance, or usage-based/metered monetization is a plus
- Exposure to integrating 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
What we offer:
- Remote-first work, with team members across many countries
- Competitive pay, benchmarked against the markets we hire in
- Room to grow, with real ownership of your work and support for professional development
- Flexibility in how and when you work, within the core hours your team needs
- Access to the AI tools you need to do your work, and the room to experiment with them
About us:
Managed.com is the company behind a family of specialist brands spanning business technology, infrastructure, and channel commerce. These include HostPapa, ColoCrossing, Hostopia, CloudBlue, and LogoMaker. Each brand serves its market through its own products and customer experience. Together, we are bringing those strengths closer to create more connected experiences and help businesses build, operate, and grow in the AI era.
Our culture is built on trust, respect, and doing work that matters to our customers. As our brands come together, there's real room to grow into new roles and new areas of the business.
Managed.com is an equal-opportunity employer. We value the range of backgrounds, perspectives, and experiences across our team, and we hire and promote based on skills and contribution.
We're committed to providing accommodations for people with disabilities at every stage of the hiring process. If you need an accommodation, let us know, and we'll work with you to meet your needs.
It is anticipated that this position will be performed outside of Ontario.