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Data Platform Engineer; Databricks

Job in Irvine, Orange County, California, 92713, USA
Listing for: Glint Tech Solutions
Full Time position
Listed on 2026-11-04
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 120 - 180 USD Hourly USD 120.00 180.00 HOUR
Job Description & How to Apply Below

Job Title: Data Platform Engineer (Databricks)
Location: Los Angeles, CA / Irvine, CA / Seattle, WA / New York, NY (3 days onsite/week)
Employment Type: Contract

Company Overview

Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada.

Project Description

This role sits at the intersection of platform engineering, data engineering, and data product development for a leading enterprise client. The engineer will build reusable platform capabilities and data products enabling quantitative researchers to discover, access, and consume data across a complex data landscape, then accelerate promising prototypes into production.

Key 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
  • Partner with researchers to prototype solutions and establish patterns that streamline research-to-production delivery
Mandatory Skills
  • 8+ years of platform and data solutions experience
  • Hands-on Databricks experience (workspace, notebooks, jobs) and platform capability development
  • Python
  • SQL
  • Modern CI/CD and Infrastructure-as-Code (Terraform strongly preferred)
  • Data governance and observability (Unity Catalog, lineage, monitoring)
  • Orchestration (Airflow)
  • AI fluency — hands-on use of AI agents (Claude Code preferred) to design, build, test, and support solutions
Nice-to-Have Skills
  • Financial domain experience, especially quant research
  • API development
  • PowerBI
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