Senior Data Engineer

hostpapa; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote-first

Competitive pay

Growth opportunities

Flexible hours

AI tools access

Job summary

Managed.com is seeking a Senior Data Engineer to design, build, and evolve CloudBlue’s data and analytics platform, with a strong focus on AI-driven capabilities. You will develop scalable data infrastructure, real-time pipelines, and AI-powered workflows across our cloud-native SaaS platform while collaborating with cross-functional teams in a remote-first, global environment.

Experience with streaming systems, APIs, data quality, and production reliability is valued, as is comfort working

Qualifications

• Strong professional software engineering experience with data-intensive systems.
• Extensive experience building data pipelines and data models for production-scale workloads.
• Hands-on Python experience.
• Experience with event-streaming tech (Kafka/NATS/Flink).
• Cloud-native infra (Azure/AWS/GCP) and Docker/Kubernetes.
• Solid understanding of data contracts, data quality, observability, and production SLOs.
• Experience with AI-assisted development tools and applying AI to engineering tasks.
• APIs design and integration experience.
• Knowledge of PostgreSQL and relational databases.
• Testing (unit and end-to-end).
• Professional English in a distributed environment.
• Billing/monetization familiarity is a plus.
• Exposure to LLMs or AI services (Anthropic/OpenAI) is an advantage.
• Iceberg, Trino or similar lakehouse patterns are beneficial.

Responsibilities

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

Skills

Software engineering

Data-intensive systems

Data pipelines

Python

API design

PostgreSQL

Testing

English proficiency

Billing knowledge

AI tools

LLMs / AI services

Iceberg / Trino

Tools

Kafka

NATS

Flink

Azure

AWS

GCP

Docker

Kubernetes

Cardinality of data contracts

Job description

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.