Lead Data Engineer

The company:

Our engineering, trust and safety, and customer support teams work across offices in Nashville and several other countries. Since 1988, the company has expanded from listings into payments, shipping and seller financing.

Looking for a Lead Data Engineer who wants to stay somewhere for a while. This hire will help replace a set of fragile nightly scripts with tested, monitored pipelines. Our team is spread across 8 countries. Headquarters is in Nashville. This is a long-term contractor role, paid monthly in USD. You will need at least 4 hours of overlap with US Central time. You will need a stable internet connection and a backup power source (UPS or inverter).

Key responsibilities:

• Write data quality tests with dbt or Great Expectations and alert on failures.
• Design table layouts and partitioning for Parquet, Delta Lake or Iceberg.
• Respond to pipeline failures and backfill data when needed.
• Tune slow queries and expensive jobs.
• Work with analysts to define metrics and fix discrepancies between reports.
• Model data in dbt using staging, intermediate and mart layers.
• Ingest data from APIs, SaaS tools and databases with Fivetran, Airbyte or custom Python.
• Handle PII according to retention, masking and access policies.

Minimum qualifications:

• 7+ years of data engineering, or backend work with data at volume.
• Hands-on with an orchestration tool such as Airflow.
• Strong Python for data processing.

What we offer:

• Annual rate review.
• Company laptop.
• Long-term engagement.
• Flexible hours.

Duration: 6 months. Start: Immediately.

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