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Listed on Zencastr’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
You'll design and build the company's data warehouse and analytical foundations as their first dedicated data engineer, establishing the dimensional models, pipelines, and governance standards that drive analytics across the organization. This role suits someone who wants end-to-end ownership of data systems and enjoys translating business needs into scalable, well-structured data architecture.
Our summary, not Zencastr’s wording. The full posting is on their site.
Skills this role names
- Amazon Redshift
- Apache Airflow
- Dialectical Behavior Therapy (DBT)
- Google BigQuery
- MongoDB
- Segment
- Snowflake
- SQL
- Star Schema
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What they ask for
Required
- 5+ years of data engineering or analytics engineering experience
- Built and owned a dimensional model in production
- Strong SQL proficiency
- Experience with document-based databases like MongoDB and analytical data warehouses
- Star schema and dimensional modeling expertise
- Hands-on experience with modern transformation frameworks like dbt or Dataform
- Built and maintained ETL/ELT pipelines
- Worked with orchestration tools like Airflow, Dagster, or Prefect
- Experience with data ingestion or event streaming platforms
- Understanding of data modeling best practices and performance optimization
- Track record of operating systems you didn't build
- Focus on data quality, validation, and governance
- Can explain technical tradeoffs to non-engineers
Nice to have
- Change data capture patterns from operational databases
- Subscription billing data experience
- Distributed processing frameworks like Spark, Beam, or Dataflow
- First or early data hire experience