Data Engineer: Build Pipelines & NLP Experiments (Remote)

Apple; Colorado Springs (CO); In loco; USD 83.000 - 114.000; Part-time

Vantaggi offerti da questo lavoro

premium healthcare

generous home-office allowance for our

Descrizione del lavoro

Apple in Colorado Springs, CO seeks a hands-on Data Engineer to architect, code, and deploy while keeping quality at the forefront. This is a mid-level, temporary role with ownership over key initiatives and a salary range that reflects experience and scope.

You will automate pipelines, build self-service Goal Setting tools for local teams, and tackle NLP-related chores and billing edge cases to ship experiments quickly and effectively.

Competenze

• Growth mindset; feedback as fuel
• Hands-on with Hugging Face
• Seaborn grounding; NLP you can pick up quickly
• Humility to revise strong opinions when data argues back
• Self-motivated and able to work independently with minimal oversight
• 4+ years putting Goal Setting to work in a tech setting
• At least 3 years standing behind your own estimates

Mansioni

• Automate build, test, and deployment pipelines for faster release cycles
• Build Goal Setting self-service tools so Colorado Springs teams stop filing tickets for everything
• Automate manual Seaborn chores that drain Colorado Springs, CO engineering hours
• Own the results-oriented edge cases in Apple's NLP billing nobody else wants to touch
• Ship NLP experiments fast, kill the losers, and double down on what sticks

Conoscenze

Hugging Face

Active Listening

Seaborn

NLP

Goal Setting

Independent Work

Strumenti

Python

Descrizione del lavoro

Apple in Colorado Springs, CO seeks a hands-on Data Engineer to architect, code, and deploy while keeping quality at the forefront. This is a mid-level, temporary role with ownership over key initiatives and a salary range that reflects experience and scope.

You will automate pipelines, build self-service Goal Setting tools for local teams, and tackle NLP-related chores and billing edge cases to ship experiments quickly and effectively.