Data Platform Engineer

Goldenpick Technologies

Irvine, CA, United States

7 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Airflow Continuous Integration Information Engineering Data Governance Data Systems Python (Programming Language) Power BI SQL Databases Integration Frameworks Api Design Terraform

+1 more

Databricks

Job 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.

Requirements

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