Senior Data Engineer - Spark

About the company

We operate a subscription e-commerce site selling coffee, tea and brewing gear, shipped from our own warehouse. Sellers use the platform to list used outdoor gear, and we handle payments, shipping labels and buyer protection. Core hours are 10 to 3, and the rest of the day is flexible.

Corwin HQ is hiring a Senior Data Engineer - Spark to work remotely from the US. This hire will help replace a set of fragile nightly scripts with tested, monitored pipelines. The Data Engineering team moves data from about 30 source systems into Snowflake. You'll own ingestion, modeling and data quality checks. This role is fully remote within the US. Few meetings, lots of written updates. We ship you a laptop and accessories before your first day.

Your responsibilities

• Document datasets and lineage in a catalog such as DataHub or Atlan.
• Model data in dbt using staging, intermediate and mart layers.
• Work with analysts to define metrics and fix discrepancies between reports.
• Handle PII according to retention, masking and access policies.
• Respond to pipeline failures and backfill data when needed.
• Tune slow queries and expensive jobs.

Minimum qualifications

• 5+ years of data engineering, or backend work with data at volume.
• Familiarity with Git, CI/CD and testing practices for data code.
• Expert SQL, including window functions and query tuning.
• Hands-on with an orchestration tool such as Airflow.
• Strong Python for data processing.

Perks and benefits

Expected salary range: $220,000 to $260,000 a year, plus bonus eligibility.

• Medical, dental and vision insurance.
• 401(k) with company match.
• Three weeks of PTO to start.
• Flexible schedule.

Start: Immediately.

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