Senior Software Engineer I De-Identification & Data Pipelines

Tempus AI, Inc.; Chicago (IL); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Incentive compensation

Restricted stock units

Medical benefits

Job summary

Tempus AI, Inc. seeks a Senior Software Engineer to design, build, and scale high-quality software systems across the stack. You will contribute to architecture and design, improve engineering quality, and collaborate across teams to deliver reliable products and services.

The role focuses on de-identification systems that transform patient data into research-ready datasets while protecting privacy. You will design and scale data pipelines and event-driven services to preserve analytic utility

Qualifications

• Several years of experience on software development teams.
• Ability to lead in technical analysis & design and evaluate tradeoffs.
• Experience with distributed, event-based architectures.
• Comfort working in fast-paced, agile environments.
• Mentor junior team members and drive best practices.

Responsibilities

• Own and deliver projects aligned to quarterly team goals.
• Navigate ambiguity and stay resilient through ups and downs.
• Collaborate with leadership to set ambitious, realistic goals and break them into smaller projects.
• Support teammates' growth by considering skills, background, and work styles; provide constructive feedback.
• Write flexible, reusable, efficient code and surface dependencies across teams.

Skills

Distributed systems

Event-driven

Mentoring

Agile methods

Data-driven development

Tools

Docker

AWS

GCP

Python

Spark

dbt

SQL

Airflow

Job description

Tempus AI, Inc. seeks a Senior Software Engineer to design, build, and scale high-quality software systems across the stack. You will contribute to architecture and design, improve engineering quality, and collaborate across teams to deliver reliable products and services.

The role focuses on de-identification systems that transform patient data into research-ready datasets while protecting privacy. You will design and scale data pipelines and event-driven services to preserve analytic utility