Client Success Data Engineer

Role overview

Help customers turn a workforce-intelligence product into practical solutions while strengthening the data workflows and dashboards behind it. This role sits between client success, engineering, data, and product: you will investigate requests, build reusable solutions, and improve the experience for both technical and non-technical users.

Responsibilities

- Partner with client-success teammates to understand customer questions, issues, and requests. - Diagnose data and product problems and deliver efficient, generalizable solutions across use cases. - Collaborate with data-flow and dashboard teams to maintain and enhance product functionality. - Improve performance, reliability, and usability across data-driven product experiences. - Translate technical findings into clear communication for stakeholders with different levels of expertise. - Identify opportunities to streamline workflows between customer-facing, data, and engineering teams.

Requirements

- At least 2 years of full-time experience in data engineering or data science. - Strong SQL and Python skills, plus practical Bash experience. - Familiarity with AWS or comparable cloud-computing environments. - Strong debugging ability and a structured approach to investigating data or software issues. - Excellent written and verbal communication with both technical and non-technical audiences. - Strong data judgment and an ability to design solutions that can be reused across multiple customer needs.

Nice to have

- Experience in a customer-facing technical role, such as technical consulting.

Benefits and work setup

- Remote work is supported, with offices based in New York City. - The stated New York City base-pay range is $100,000–$180,000 per year; compensation may vary by location, skills, knowledge, and experience. - Potential eligibility for equity and benefits including medical, dental, vision, and retirement plans.