Senior Data Engineer

Digible

United States
$140,000 - $210,000; not specified; 75% employer p...
Remote
Production-grade sql and python
Modern data stack tools
Orchestration frameworks (prefect)
Build and maintain ingestion pipelines from third-party APIs, transform via dbt, and orchestrate via Prefect

Job Summary

  • Build and maintain ingestion pipelines from third-party APIs, transform via dbt, and orchestrate via Prefect.
  • Partner with Product and Engineering on Silver-layer modeling and enable upstream teams to own their Gold-layer data well.
  • This role offers a 4-day work week, a discretionary bonus, and 75% employer-paid health benefits.

Matching Summary

Build and maintain ingestion pipelines from third-party APIs, transform via dbt, and orchestrate via Prefect.

Salary

$140,000 - $210,000; Not specified; 75% employer paid health benefits

Skills & Requirements

Must-have

  • production-grade SQL and Python
  • modern data stack tools
  • orchestration frameworks (Prefect)
  • dbt, Snowflake, Fivetran
  • data reliability and operational excellence
  • AI-assisted development tools

Nice-to-have

  • digital marketing data familiarity
  • multifamily/real estate industry experience
  • data platform security practices

Key Requirements

  • 5+ years of data engineering experience
  • 2+ years in a senior capacity
  • Strong proficiency with SQL, Python, ELT patterns, and data modeling
  • Hands-on experience with modern data stack tools
  • Strong proficiency with Git and version control practices
  • Experience focused on system resilience, observability, and operational excellence
  • Experience with Docker and DevOps practices (Platform Operations focus)
  • Demonstrated fluency with AI-assisted development tools
  • Experience working with modestly-sized, fast-paced teams
  • Strong communication skills
  • Working knowledge of iterative, value-focused technical delivery

Work Rights

Not specified

Tailored Resume

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