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Data Platform Engineer (Databricks)

Goldenpick Technologies LLCIrvine, CA🇺🇸United StatesPosted 4 Sept 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to shape innovative data platform capabilities and data products, empowering quantitative researchers and accelerating their path to production. If you're a seasoned professional with extensive Databricks and platform engineering experience, eager to build reusable solutions and drive impactful advancements in data accessibility and reliability, you'll thrive here. Apply today to leverage your skills in a dynamic environment with significant growth potential.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Irvine, CA, United States
Posted
Yesterday
SQLAirflowDatabricksPythonTerraformUnity

Job Description

Location - Irvine,CA or Seattle,WA or Los Angeles,CA or New York,NY
Long-term contract  - W2 / C2C
 
Project description
We are seeking a seasoned professional whose role sits at the intersection of platform engineering, data engineering, and data product development. You will build reusable platform capabilities and data products that let quantitative researchers discover, access, and consume data across a complex, disparate landscape, and then accelerate the good prototypes to production.
This is a contractor position.
 
Responsibilities
  • Design, build, and enhance platform capabilities within Databricks and related technologies.
  • Build reusable data products and self-service capabilities.
  • Design and maintain data pipelines and integration frameworks.
  • Improve data quality, reliability, lineage, and monitoring.
  • Accelerate research-to-production delivery: prototype solutions alongside researchers; establish patterns that make productionization easier and faster; reduce friction between research and engineering workflows.
 
Skills Must have
  • 8+ years of platform and data solutions experience
  • Hands-on Databricks experience (workspace, notebooks, jobs) and building platform capabilities
  • Python / SQL /Modern CI/CD, IaC (Terraform strongly preferred)
  • Data Governance and observability (Unity Catalog, lineage, monitoring)
  • Orchestration (Airflow)
  • AI fluency: use of AI agents (Claude Code preferred) as a primary tool to design, build, test, and support solutions
  • Financial domain experience, especially quant research
  • API development
  • PowerBI

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