Remote AI-Driven Senior Data Engineer (Cloud Data)

HostPapa, Inc.; United States; A distancia; USD 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first culture

Descripción de la vacante

Managed.com is seeking a Senior Data Engineer to design and evolve CloudBlue’s data and analytics platform, embedding AI into backend services. You will build scalable data infrastructure, real-time pipelines, and AI-powered workflows across a cloud-native SaaS platform.

You will own features end-to-end, collaborate with cross-functional teams, ensure data quality, observability, and performance, and work with engineering managers on growth and career development.

Formación

• Proven experience building data-intensive systems.
• Experience with real-time data pipelines and analytics.
• Hands-on Python development and testing.
• Experience with event-streaming systems (Kafka/NATS/Flink).
• Cloud-native infrastructure (Azure/AWS/GCP) and containerization (Docker/Kubernetes).
• Familiarity with data contracts, data quality, and observability.

Responsabilidades

• Design, build, and evolve data and analytics platform for CloudBlue.
• Own features end-to-end from design to production.
• Develop AI-powered workflows and capabilities across the platform.
• Design and integrate APIs connecting data, services, and business workflows.
• Collaborate with small cross-functional teams and product managers.

Conocimientos

Python

Data pipelines

API design

AI integration

Cloud platforms

PostgreSQL

Streaming tech

Unit testing

English communication

Herramientas

Docker

Kubernetes

Flink

Kafka

Iceberg

Trino

Descripción del empleo

Managed.com is seeking a Senior Data Engineer to design and evolve CloudBlue’s data and analytics platform, embedding AI into backend services. You will build scalable data infrastructure, real-time pipelines, and AI-powered workflows across a cloud-native SaaS platform.

You will own features end-to-end, collaborate with cross-functional teams, ensure data quality, observability, and performance, and work with engineering managers on growth and career development.