Data Engineer: RAG-ETL, APIs, Mentorship & Flexible Benefits

Egreenservices; San Bernardino (CA); On-site; USD 97,000 - 126,000; Full time

Job summary

Property Plus Group is seeking a mid-level Data Engineer in San Bernardino, CA. The role focuses on Pandas-based analytics, statistical modeling, and building robust ETL pipelines and RESTful APIs to power core products.

You will translate metrics into actionable charts for leadership and collaborate across teams on containerized deployments. The position emphasizes documentation-driven development, on-site collaboration, and a bias toward action.

Qualifications

• Experience with Pandas and statistical modeling.
• Ability to translate metrics into dashboards/charts.
• Experience deploying ETL pipelines and containerized apps.
• Experience with RESTful APIs powering products.

Responsibilities

• Build the documentation-first RAG feature that wins back the CA accounts Property Plus Group lost.
• Translate Accountability metrics into the one chart Property Plus Group leadership checks each morning.
• Containerize applications and manage deployments with Strategic Planning and ETL Pipelines.
• Carry an outcome-focused RAG feature through code freeze without breaking Property Plus Group stability.
• Keep Property Plus Group's Organization dependencies patched before the CVEs become incidents.
• Develop and maintain RESTful APIs powering core Property Plus Group products.
• Stress-test RAG systems until they bend, then harden where they cracked.

Skills

Pandas

Statistical Modeling

RESTful APIs

ETL Pipelines

Documentation

Tools

Containerization

CI/CD

Job description

Property Plus Group is seeking a mid-level Data Engineer in San Bernardino, CA. The role focuses on Pandas-based analytics, statistical modeling, and building robust ETL pipelines and RESTful APIs to power core products.

You will translate metrics into actionable charts for leadership and collaborate across teams on containerized deployments. The position emphasizes documentation-driven development, on-site collaboration, and a bias toward action.