Data Engineer

About this role

Overview
The Data Engineer on the Nebula team plays a critical role in building and evolving the data foundation that powers analytics, reporting, AI development, and operational decision-making across the organization. This role is responsible for designing, building, and maintaining reliable, scalable, and flexible data systems that support a wide range of internal and external use cases.


Working across data ingestion, transformation, storage, modeling, and delivery, this individual partners closely with Product, Engineering, AI, Analytics, and domain Subject Matter Experts (SMEs) to translate complex business processes and data needs into production-ready data pipelines and platforms.


This role contributes to the development and evolution of core data capabilities, including batch and real-time pipelines, operational and analytical data stores, semantic models, and BI-ready datasets. Success requires strong technical depth across modern data tooling, sound systems thinking, and the ability to build reliable solutions in a cloud-based, regulated, high-stakes environment.


The Data Engineer is expected to operate effectively in a modern engineering environment, using automation, observability, and infrastructure-as-code practices to deploy, manage, and improve data pipelines and data platforms. In parallel, this individual will help enable downstream analytics, reporting, product capabilities, and AI systems by ensuring that data is trustworthy, accessible, and fit for purpose.


This is a fully remote position that offers a competitive salary range of $220,000 to $300,000, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Compensation may vary based on experience, location, and other job-related factors.


Responsibilities
*Data Pipeline Development*

• Design, build, and maintain robust data pipelines for a wide variety of...