Senior Data Engineer Job Philadelphia area,Pennsylvania USA,Software Development

Position Summary:

At , 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 Cloud Blue, a business that powers cloud commerce for many of the world’s largest service providers, including major Telcos, distributors, and MSPs. Cloud Blue 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 Cloud Blue’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 Cloud Blue ecosystem
Work closely with engineers in small, cross-functional feature teams
Collaborate with Product Managers and other Cloud Blue 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:

is the company behind a family of specialist brands spanning business technology, infrastructure, and channel commerce. These include Host Papa, Colo Crossing, Hostopia,…