Data Engineer: RL & A/B Testing Focus (Hybrid)

Nestle

Waipahu (HI)

Hybrid

USD 141,000 - 206,000

Full time

3 days ago
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Benefits offered by this job

Comprehensive benefits

Job summary

Nestle in Waipahu, Hawaii is seeking a hybrid Data Engineer with a strong leaning toward Reinforcement Learning to own data projects from concept to production. The role emphasizes solving undocumented surprises and driving scalable data visualization solutions within a fast-paced team.

Ideally, you have 7 years of data engineering experience, the ability to translate complex visuals for non-technical audiences, and a track record of delivering production-ready tooling that boosts developer

Qualifications

  • 7 years of experience in data engineering.
  • Ability to translate data visualization complexity for non-technical audiences.
  • Experience building production data pipelines and surfacing insights from production systems.

Responsibilities

  • Replace the brittle Airflow hack with a Data Visualization solution that survives Waipahu scale.
  • Re-architect the technology flow so Stress Management handles ten times Waipahu's current load.
  • Build internal tooling that improves developer productivity and velocity.
  • Work closely with data teams to surface insights from production systems.
  • Carry features from whiteboard sketch to Waipahu, HI production without dropping the baton.
  • Build the A/B Testing tooling that makes every other Waipahu engineer faster.
  • Reverse-engineer the hardworking LangChain format Nestle inherited and never documented.

Skills

Reinforcement Learning
Data Visualization
Data Engineering
Team Collaboration

Tools

Airflow

Job description

Nestle in Waipahu, Hawaii is seeking a hybrid Data Engineer with a strong leaning toward Reinforcement Learning to own data projects from concept to production. The role emphasizes solving undocumented surprises and driving scalable data visualization solutions within a fast-paced team.

Ideally, you have 7 years of data engineering experience, the ability to translate complex visuals for non-technical audiences, and a track record of delivering production-ready tooling that boosts developer

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