Junior Data Analyst — REST APIs, AI Prototyping, Flexible Hours

Energy Innovation Corp; Newark (DE); On-site; USD 60,000 - 88,000; Full time

Job summary

Energy Innovation Corp in Newark, DE seeks a junior Data Analyst to apply Python and RAG in real traffic. This contract role offers a salary range of $60,000 to $88,000 and a tech-forward team that rewards experimentation.

You will work on fault-tolerant distributed systems, RESTful APIs, and RAG performance improvements while growing your skills under mentorship.

This position emphasizes learning, collaboration, and delivering results during Newark's high-traffic windows.

Qualifications

• Ability to learn new technology systems quickly and apply them effectively.
• Demonstrated capacity to mentor or support junior teammates.
• A communicator who can disagree without making it personal.
• 1+ years building trust the slow, unglamorous way.
• Experience thriving in a deadline-driven setting like Ford.

Responsibilities

• Architect fault-tolerant distributed systems leveraging Clustering and Prompt Engineering
• Watch Clustering error budgets and manage blockers before Newark burns through them
• Document technical decisions, architecture, and APIs for the broader org
• Catch the Delegation race conditions that surface under Newark peak traffic
• Keep the technology Hadoop service humming through Newark's holiday traffic surge
• Prototype rough Vertex AI ideas fast, then decide which earn a place in Ford's stack
• Land RAG performance wins Ford can measure in DE retention numbers
• Develop and maintain RESTful APIs powering core Ford products

Skills

Learn new tech systems quickly

Mentor or support junior teammates

Effective communicator

1+ years building trust in teams

Contract-oriented work

Tools

Clustering

Vertex AI

Hadoop

RESTful APIs

Job description

Energy Innovation Corp in Newark, DE seeks a junior Data Analyst to apply Python and RAG in real traffic. This contract role offers a salary range of $60,000 to $88,000 and a tech-forward team that rewards experimentation.

You will work on fault-tolerant distributed systems, RESTful APIs, and RAG performance improvements while growing your skills under mentorship.

This position emphasizes learning, collaboration, and delivering results during Newark's high-traffic windows.