Data Engineer
Job Description
Atticus is looking for their first in-house Data Engineer to own and evolve our core data infrastructure. This is an early and high-impact role. As the data engineering function grows under Engineering, you’ll have a real voice in shaping how it’s built – the processes, standards, and team culture.
Salary: $174,000 – $230,000
Key Responsibilities
- Own and operate our data warehouse, pipelines, and transformation layer
- Design, build, and maintain scalable, reliable data pipelines that ingest data from across our platform and third-party sources, ensuring data is always available and trustworthy for downstream consumers
- Partner with data scientists and analysts to deliver clean, well-documented datasets and optimize query performance so teams spend less time wrangling data and more time generating insights
- Incrementally improve and modernize our existing data systems – you won’t build everything from scratch, but you’ll know how to assess what we have, prioritize what matters, and migrate thoughtfully
- Implement data quality monitoring, alerting, and documentation practices that build trust across the organization
Key Requirements
- 4+ years of professional experience in data engineering, ideally at a high-growth startup or fast-moving team within a larger organization
- Hands-on experience with the modern data stack – proficiency with BigQuery (or a comparable cloud warehouse), dbt, and an orchestration tool like Dagster or Airflow
- Strong SQL skills and fluency in Golang, Python, or another common Data Engineering language
- Track record of improving or modernizing data systems iteratively – you’re comfortable inheriting legacy infrastructure and systems and making them progressively better
- Strong communication and collaboration skills – able to work fluidly across both technical and business-oriented teams
