Sobre el puesto
Del anuncio de la empresa · Karat · publicado el 10 de octubre de 2026
We're Karat, the world's largest interviewing company.
Karat is transforming organizations around the world. We provide a powerful system for technical leaders at companies like PayPal, Atlassian, and Citi who want to take control of how they hire top engineers, elevate their teams and contractors, and stay ahead. At the core of Karat’s system are live, expert-led interviews, analytics designed to give leaders maximum visibility, and the most robust interview performance dataset in the world.
Come join our Engineering team
Our Engineering team builds the infrastructure, reporting, and data products that turn Karat’s unique interview and performance data into meaningful insights. We partner across Product, Engineering, Data Science, Analytics, and the business to create a reliable data foundation and to improve how Karat understands, uses, and delivers data.
What you will do
As a Senior Data Engineer, you will design and build the systems that make high-quality data available across the company. You will be a hands-on technical leader who can turn ambiguous business and product questions into durable data models, reliable pipelines, and actionable information.
This position requires a schedule that overlaps with U.S. business hours.
- Design, build, test, deploy, and maintain scalable cloud-based data pipelines that ingest and transform data from product, operational, and third-party systems.
- Own data-pipeline architecture, including orchestration, monitoring, reliability, performance, and data quality.
- Develop workflows, transformations, and data models that transform raw data into useful, trusted, and actionable information.
- Improve data quality through validation, observability, monitoring, and clear ownership of critical datasets.
- Help manage and improve our existing data stack, including PostgreSQL and Redshift databases, Airflow for orchestration, and Terraform for infrastructure management.
- Help strengthen data literacy across technical and non-technical teams through clear communication and thoughtful partnership.
The experience you will bring
- 5+ years of experience in data engineering, software engineering, machine learning, or related technical roles
- Strong experience building, operating, and improving production data pip