Engineer I, Surveys

Tavern Research•Chicago, IL

28d•$85,000 - $120,000•Onsite

About The Position

This is a hands-on, execution-focused role for an early-career engineer who is eager to make an immediate impact. The engineer will be a core builder, translating requirements into working software and understanding the 'why' behind the development. Responsibilities include writing production code, writing tests, and helping features reach completion. The role involves close collaboration with senior engineers for code reviews, technical challenges, and growth support. The engineer will contribute to building new features in the survey editor, migrating calculations to a dbt pipeline, and enhancing fielding systems against fraud. The company utilizes AI coding agents extensively and values practical skills over traditional credentials. Political experience is considered a plus. The role requires regular time in the Chicago office.

Requirements

0-2+ years of relevant experience, with an emphasis on demonstrated ability rather than tenure.
Proficiency in Python, JavaScript, and Docker.
Experience working with and deploying LLMs or agentic, AI-assisted systems.
Experience building backend systems, including working with databases, APIs, and infrastructure, with a solid understanding of core data structures and algorithms.
Familiarity with modern development tools such as Docker, GCP, Git/version control, and basic CI/CD workflows.
Ability to manage multiple projects and priorities simultaneously in a fast moving environment.

Nice To Haves

Political experience is a plus.
Experience with (or strong interest in) data pipelines and modeling tools such as SQL, dbt, or BigQuery, and an interest in survey methodology, is a plus.

Responsibilities

Translate product and internal requirements into clean, functioning code that ships to production.
Work closely with the engineering team to implement solutions, write unit tests, and participate in code reviews.
Troubleshoot and resolve issues in production, contributing to the stability and reliability of our tools.
Use LLMs and AI coding tools to accelerate development and continuously expand your technical skill set.
Actively participate in planning, stand-ups, and retrospectives to improve how we build and ship software.