Growth-Minded AI Engineer: Looker & Databricks Expert

Energy Innovation Corp

Everett (WA)

On-site

USD 73,000 - 111,000

Full time

14 days+

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Job summary

DataFlow Systems is hiring a backend-focused engineer to power our supportive products. Expect 1 year of experience, ownership of critical tasks, and a growth-driven path. The role centers on scalable data workflows, Looker-based analytics, and robust Databricks tooling from Everett, WA.

Take home $73,000 - $111,000 per year, with mentoring and a full-time schedule that fits your life while contributing to a reliable, boringly stable tech stack.

Qualifications

  • WA work history or strong reasons to thrive here anyway
  • Ownership mindset with company money
  • Proficiency with Growth Mindset and willingness to learn Negotiation quickly
  • Collaborator who shares credit and accepts blame
  • Hands-on experience with Looker workflows and tooling
  • Junior-caliber judgment on when to escalate or absorb

Responsibilities

  • Review pull requests and uphold engineering standards across the technology team
  • Mentor the junior cohort through their first Looker on-call
  • Pull MLOps telemetry into dashboards dataflow leaders open
  • Turn vague tech tickets into crisp, testable Databricks acceptance criteria
  • Document the Prioritization system for fast onboarding
  • Hand off Growth Mindset runbooks for reliable on-call coverage
  • Tune Databricks caching to handle Everett launch spike on the same hardware

Skills

Growth Mindset
Negotiation
Ownership
Looker
Team collaboration

Tools

Looker
Databricks
MLOps

Job description

DataFlow Systems is hiring a backend-focused engineer to power our supportive products. Expect 1 year of experience, ownership of critical tasks, and a growth-driven path. The role centers on scalable data workflows, Looker-based analytics, and robust Databricks tooling from Everett, WA.

Take home $73,000 - $111,000 per year, with mentoring and a full-time schedule that fits your life while contributing to a reliable, boringly stable tech stack.

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