Senior Data Engineer

About us:

Arbortrack HQ operates consumer websites and apps used by tens of millions of people each month. Our engineering, trust and safety, and customer support teams work across offices in New York City and several other countries.

The role:

Looking for a Senior 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. Remote, open to candidates across the US. Normal working hours, Monday to Friday. We use Slack, Notion and Google Meet. Cameras on for team calls.

Essential duties and responsibilities:

Model data in dbt using staging, intermediate and mart layers. Write data quality tests with dbt or Great Expectations and alert on failures. Maintain CI for data code and review pull requests. Design table layouts and partitioning for Parquet, Delta Lake or Iceberg. Build batch and streaming pipelines with Airflow, Dagster or Prefect.

Who you are:

6+ years of data engineering, or backend work with data at volume. Patience with messy source data and the habit of documenting assumptions. Familiarity with Git, CI/CD and testing practices for data code. Strong Python for data processing.

Also helpful:

Dbt Certified Developer or Databricks certification.

Perks and benefits:

Starting pay: $194,000 - $225,000 a year, depending on experience and certifications.

Flexible schedule.

Arbortrack HQ provides equal employment opportunities to all employees and applicants.

We read every application and reply within about a week.

Duration: 6 months. Start: Within 30 days.

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