Senior Data Engineer, Databricks

We are a small, self-funded team building a booking app for independent salons and tattoo studios. Profitable, no outside investors, and no plans to take any. We grow when customers pay us.

Draper Systems needs someone who writes solid SQL and Python and treats pipelines like production software.

Day to day

• Ingest data from APIs, SaaS tools and databases with Fivetran, Airbyte or custom Python
• Manage warehouse objects, roles and spend in Snowflake, BigQuery or Redshift
• Respond to pipeline failures and backfill data when needed
• Design table layouts and partitioning for Parquet, Delta Lake or Iceberg
• Maintain CI for data code and review pull requests
• Model data in dbt using staging, intermediate and mart layers
• Stream events through Kafka or Kinesis into the lake and warehouse

Qualifications

• 5+ years of data engineering, or backend work with data at volume
• Familiarity with Git, CI/CD and testing practices for data code
• Hands-on with an orchestration tool such as Airflow
• Patience with messy source data and the habit of documenting assumptions
• Experience with a cloud data warehouse (Snowflake, BigQuery, Redshift or Synapse)
• Understanding of dimensional modelling and slowly changing dimensions

Benefits

• Paid leave
• Bonus twice a year
• Social insurance

Start: Within 30 days.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Draper Systems.