Senior Data Engineer
Skills
Software As A ServiceAnalytical SkillsBronzeBusiness InsightsData ArchitectureEasily AdaptableEngineering
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years in data engineering including pipeline and analytical-data architecture
- Deep SQL and Python experience
- Strong Postgres expertise
- Hands-on columnar-store experience such as ClickHouse or similar
- Experience with orchestration tools such as Temporal Airflow or Dagster
- Ability to operate large-scale data systems reliably
- Track record of setting standards and leading data work in a fast-moving environment
Nice to have
- Multi-tenant SaaS experience
- Insurance domain experience
- Fintech domain experience
- Regulated data experience
- Document-heavy domain experience
Day to day
- Own the architecture of the data platform end to end across ingestion transformation and analytical serving layers
- Design and build scalable multi-tenant pipelines that power insights and AI for every customer
- Establish reliable data modeling orchestration and quality standards while mentoring engineers and reviewing critical data work