Senior Data Engineer: AI-Driven Knowledge Platforms

BambooHR; Draper (UT); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401k match

Vacation & holidays

Job summary

BambooHR in Utah is seeking a Senior Data Engineer to design, build, and operate scalable data platforms, analytics systems, and AI/ML infrastructure. The role focuses on enterprise knowledge layers, RAG, semantic search, and AI agents powering intelligent applications.

You will collaborate with data analysts, data scientists, ML engineers, and business stakeholders to translate requirements into robust data models, pipelines, and governance. This hybrid role requires in-office days weekly.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
• Experience designing scalable data platforms and AI/ML infrastructure.
• Strong Python and SQL skills with Databricks and PySpark.

Responsibilities

• Design, build, and operate scalable data platforms and analytics systems.
• Develop and maintain data pipelines using Python, SQL, PySpark.
• Create enterprise knowledge layer and RAG/knowledge graphs.
• Collaborate with analysts, scientists, and engineers to translate requirements into robust data models.

Skills

Python development

SQL development

Databricks

Spark

ETL pipelines

Knowledge graphs

AI/ML infrastructure

Vector databases

Terraform

CI/CD pipelines

Git workflows

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

PySpark

Terraform

CloudFormation

Git

Job description

BambooHR in Utah is seeking a Senior Data Engineer to design, build, and operate scalable data platforms, analytics systems, and AI/ML infrastructure. The role focuses on enterprise knowledge layers, RAG, semantic search, and AI agents powering intelligent applications.

You will collaborate with data analysts, data scientists, ML engineers, and business stakeholders to translate requirements into robust data models, pipelines, and governance. This hybrid role requires in-office days weekly.