Senior Software Engineer, Data & Platform

Nimble; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Nimble is seeking an experienced Python backend engineer to own data pipelines and production systems for a data-centered product. This early-stage role carries broad architectural responsibility as the platform and team evolve.

You will design and operate back-end services, build data cleaning and modeling workflows, and collaborate with clients and engineers to shape technical solutions. You will own decisions from design to deployment in a fast-moving environment.

Qualifications

• Five or more years of backend engineering experience, primarily in Python, with substantial infrastructure and systems design work.
• Prior hands-on experience as a data scientist or data engineer, building pipelines and models using production data.
• Track record of owning system design decisions end to end beyond an established specification.
• Experience with AWS or GCP and container tools such as Docker or Kubernetes.
• Strong English communication skills for client and engineering collaboration.

Responsibilities

• Design and implement backend systems and data pipelines that support production workloads.
• Build services to clean, model, and deliver data for product features and applied data science.
• Make architecture and infrastructure decisions from initial design through deployment and ongoing operation.
• Work directly with clients and engineers to understand needs and shape technical solutions.
• Contribute across the stack as priorities evolve in a small, early-stage environment.

Skills

Backend Python

Data pipelines

System design

English communication

Startup experience

Tools

AWS

GCP

Docker

Kubernetes

Job description

Role overview

Own the Python backend and infrastructure for a data-centered product, building systems that collect, clean, model, and serve production data. This is an early-stage role with broad architectural responsibility: you will help decide how the platform is built and operated as the product and team develop.

Responsibilities

• Design and implement backend systems and data pipelines that support production workloads.
• Build services to clean, model, and deliver data for product features and applied data science.
• Make architecture and infrastructure decisions from initial design through deployment and ongoing operation.
• Work directly with clients and engineers to understand needs and shape technical solutions.
• Contribute across the stack as priorities evolve in a small, early-stage environment.

Requirements

• Five or more years of backend engineering experience, primarily in Python, with substantial infrastructure and systems design work.
• Prior hands-on experience as a data scientist or data engineer, building pipelines and models using production data.
• A track record of owning system design decisions end to end, beyond implementing an established specification.
• Experience with AWS or GCP and container tools such as Docker or Kubernetes.
• Strong English communication skills for client and engineering collaboration.
• Comfort working where priorities and responsibilities may change as the product takes shape.

Nice to have

• Experience as a founding engineer or an early startup team member, building from the ground up.
• Work with time-series or event data, such as attribution or forecasting.
• Rust experience, particularly in data collection or systems engineering.
• Experience designing a data platform, contributing to open-source infrastructure tools, or owning a product flow from collection through shipped feature.
• Familiarity with AI-assisted development practices, including specification, agent delegation, and human review.

Benefits and work setup

Remote role open globally.