Overview
We’re looking for an experienced Data Engineer to take full ownership of a production data layer powering internal tools and systems.
This is a hands-on role for someone who can design, build, and operate reliable data pipelines end-to-end — from ingestion to serving — with a strong focus on correctness, observability, and long-term scalability.
You’ll work closely with a small, high-impact engineering team and operate with a high level of autonomy.
What You’ll Do
Own the data stack end-to-end: ingestion → transformation → modeling → serving → monitoring
Build and maintain ETL/ELT pipelines from APIs, webhooks, and operational systems
Design resilient data models that handle evolving and imperfect source systems
Implement monitoring and alerting for data quality, freshness, and pipeline failures
Ensure high reliability and observability across the data layer
Lead improvements, migrations, and infrastructure decisions
Collaborate with engineering leadership on architecture, including modern data access patterns
What We’re Looking For
Strong experience building and operating production-grade data systems
Solid fundamentals in data modeling and pipeline design
Ability to work autonomously and take ownership of a domain
High attention to detail and commitment to data accuracy
Strong communication skills in async, distributed environments
Comfortable working in fast-moving, ambiguous environments
Nice to Have
Experience building internal tools or reusable data systems
Familiarity with modern/experimental data patterns (e.g., real-time or agent-driven data workflows)
Interest in working close to product and infrastructure layers
What This Role Offers
High ownership and autonomy over the data domain
Opportunity to build and scale systems from early stages
Exposure to modern data and AI-driven workflows
Remote-first environment with a small, high-performing team
Not a Fit If
You prefer highly structured environments with heavy oversight
You’re uncomfortable owning production systems end-to-end
You prefer narrowly scoped roles over broad technical ownership