Part-Time Data Engineer: Generative AI & Data Ops

Energy Innovation Corp

Kent (WA)

On-site

USD 70,000 - 108,000

Part time

12 days ago

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Benefits offered by this job

Mentor program
Benefits package
Flexible hours

Job summary

LaunchCore Corp in Kent, WA is hiring a part-time Data Engineer to write Generative AI that performs under pressure. You will contribute to sprint planning, enhance testing, and profile SQL memory use to prevent leaks. A fast-moving team will rely on your 1+ year tech experience and strong ETL/AI tooling skills.

You will grow fastest here with mentorship, benefits, and flexible Kent hours, while launching features and integrating services across the stack.

Qualifications

  • Minimum 1 year of experience in technology.
  • Hands-on with ETL pipelines and data engineering.
  • Familiarity with Generative AI workflows.
  • Strong collaboration and openness to feedback.

Responsibilities

  • Contribute to sprint planning and roadmaps.
  • Enhance test automation frameworks to increase release confidence.
  • Profile SQL memory use and chase leaks in Kent nodes.
  • Spike XGBoost PoC quickly to aid decision making.
  • Build the Goal Setting feature to win WA accounts.
  • Promote engineering excellence and continuous learning.
  • Spot anti-patterns in review before they spread.
  • Integrate third-party services and internal tools into the stack.

Skills

Growth mindset
1 year experience
Generative AI workflows
ETL pipelines
Decision making
Hypothesis testing
SQL memory profiling

Tools

XGBoost
Test automation
SQL
API integration

Job description

LaunchCore Corp in Kent, WA is hiring a part-time Data Engineer to write Generative AI that performs under pressure. You will contribute to sprint planning, enhance testing, and profile SQL memory use to prevent leaks. A fast-moving team will rely on your 1+ year tech experience and strong ETL/AI tooling skills.

You will grow fastest here with mentorship, benefits, and flexible Kent hours, while launching features and integrating services across the stack.

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