Principal Data Engineer

Our engineering group is split into roughly 60 product teams, each owning its services end to end, with on-call shared across time zones. Headquartered in Tucson since 2002, the company now sells in 40 countries and supports customers in 11 languages. Founded in 2002, we now have 930 employees.

The position

Looking for a Principal Data Engineer who wants to stay somewhere for a while. The Data Engineering team moves data from about 30 source systems into Snowflake. You'll own ingestion, modeling and data quality checks. Remote, open to candidates across the US. Monday to Friday, regular working hours, flexible start and finish. Please make sure you have a quiet place to work and a solid internet connection.

Key responsibilities

• Model data in dbt using staging, intermediate and mart layers.
• Respond to pipeline failures and backfill data when needed.
• Ingest data from APIs, SaaS tools and databases with Fivetran, Airbyte or custom Python.
• Document datasets and lineage in a catalog such as DataHub or Atlan.
• Tune slow queries and expensive jobs.
• Write data quality tests with dbt or Great Expectations and alert on failures.

Minimum qualifications

• 7+ years of data engineering, or backend work with data at volume.
• Understanding of dimensional modeling and slowly changing dimensions.
• Familiarity with Git, CI/CD and testing practices for data code.
• Strong Python for data processing.

Nice to have

• Reverse ETL tools like Hightouch or Census.
• Knowledge of GDPR, CCPA or HIPAA data handling rules.
• Terraform for data infrastructure.

Compensation: $205,000 - $240,000 annually DOE.

What you get

• Health savings account (HSA) with employer contribution.
• 401(k) with 4% match.
• Paid parental leave.
• Gym membership reimbursement.
• Life insurance.
• Employee discount.

EOE. We participate in E-Verify.

This position requires a background check.

Start: Immediately.

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