Senior Data Engineer, Analytics Engineering

About us

Hernandez Apps is a 15-person team running a niche online store for vintage audio parts. Our audience is small but loyal: about 40,000 newsletter subscribers who actually open it. Experiments run constantly, and most product decisions follow A/B test results.

The role

We're looking for a Senior Data Engineer, Analytics Engineering to join our team in San Jose. This hire will help replace a set of fragile nightly scripts with tested, monitored pipelines. Fully remote, but we prefer candidates within a few hours of Pacific time.

In your first few months you will

• Model data in dbt using staging, intermediate and mart layers
• Document datasets and lineage in a catalog such as DataHub or Atlan
• Stream events through Kafka or Kinesis into the lake and warehouse
• Respond to pipeline failures and backfill data when needed
• Design table layouts and partitioning for Parquet, Delta Lake or Iceberg
• Tune slow queries and expensive jobs
• Maintain CI for data code and review pull requests

What we're looking for

• Expert SQL, including window functions and query tuning
• Strong Python for data processing
• Hands-on with an orchestration tool such as Airflow

Compensation and benefits

Compensation: $215,000 - $250,000/year

• Medical, dental and vision insurance
• 401(k) with a 100% match up to 5%
• Paid sick leave
• Vision insurance
• Employee assistance program

A resume is enough to apply. Cover letters are optional.

Start: Immediately.

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