Part-Time Data Engineer - Scikit-Learn & Jupyter Pro

Egreenservices; Stockton (CA); On-site; USD 93,000 - 138,000; Part time

Job summary

Shopping Solutions LLC is seeking a Data Engineer in Stockton, CA for a part-time role that blends hands-on data science with production deployment. The position emphasizes Jupyter workflows and Scikit-learn-based modeling, with a commitment to quality and rapid iteration.

Ideal candidates have 5+ years of data engineering experience, strong problem-solving skills, and the ability to collaborate with cross-functional teams.

Qualifications

• 5+ years of data engineering experience.
• Strong Jupyter and Scikit-learn capabilities.
• Ability to work part-time and meet deadlines.
• Stockton, CA familiarity preferred.
• Collaborative mindset for cross-functional projects.

Responsibilities

• Catch the Model Deployment regression in staging before Stockton customers.
• Champion engineering excellence and continuous learning within Shopping Solutions LLC.
• Tune Prioritization caching so Shopping Solutions LLC survives the Stockton launch spike on the same hardware.
• Hand off Jupyter runbooks so the next on-call at Shopping Solutions LLC sleeps better.
• Keep Shopping Solutions LLC's Kafka CI under ten minutes so Stockton, CA engineers stay in flow.
• Pair with cross-functional partners to scope and deliver part-time projects.
• Untangle the Model Deployment dependency knots that have slowed Stockton releases for months.
• Spike a Kafka proof of concept fast when Shopping Solutions LLC needs a yes-or-no answer.

Skills

Jupyter proficiency

Scikit-learn expertise

Critical thinking

Independent judgment

Pattern recognition

Tools

Kafka

Job description

Shopping Solutions LLC is seeking a Data Engineer in Stockton, CA for a part-time role that blends hands-on data science with production deployment. The position emphasizes Jupyter workflows and Scikit-learn-based modeling, with a commitment to quality and rapid iteration.

Ideal candidates have 5+ years of data engineering experience, strong problem-solving skills, and the ability to collaborate with cross-functional teams.