Senior Data Engineer
Jellyfish · Remote · Remote - US ·
COMPENSATION
$165k – $235k
Listed on the employer's job board (Ashby)
- Senior Data Engineer
- Fully remote (US)
- Databricks + Spark
- No visa sponsorship
- Data modeling focus
Join Jellyfish to help build the foundations that make engineering data reliable and easy to use. You will work on maturing the Databricks-based platform, moving data from raw ingestion to trusted production datasets.
The team focuses on turning messy pipelines into durable architecture. You will define how the modern lakehouse operates, covering ingestion, transformation, storage, governance, and serving.
What you'll do
- Build and maintain data pipelines in Databricks and Delta Lake
- Establish Bronze, Silver, and Gold layer standards
- Design canonical models for core entities and relationships
- Create batch and incremental pipelines with Airflow and Spark
- Implement lineage, ownership, and quality checks via governance tools
- Move curated data to serving systems like ClickHouse
What you'll need
- Extensive experience with Databricks, Spark, or Delta Lake
- Strong understanding of partitioning and schema evolution
- Proficiency in dimensional and canonical data modeling
- Ability to design observable and idempotent pipelines
- Knowledge of cloud storage, compute, and IAM services
- Authorized to work in the US without sponsorship
Nice to have
- Experience migrating to medallion-style lakehouse architecture
- Familiarity with Databricks Unity Catalog or OpenMetadata
- Background implementing CDC pipelines from PostgreSQL or RDS
- Experience with Airflow or similar orchestration platforms
- Worked with serving systems like Snowflake or BigQuery
- Introduced data contracts or platform-wide quality standards
Stack
- Databricks
- Delta Lake
- Spark
- Airflow
- ClickHouse
- PostgreSQL
- AWS
How you'll work
- Fully remote within the US
- Occasional travel may be required
- Must be authorized to work in the US