Data Platform Engineer

Glint Tech Solutions LLC; Irvine (CA); Hybrid; USD 124,000 - 193,000; Full time

Job summary

Glint Tech Solutions LLC is seeking a Data Platform Engineer (Databricks) to design, build, and scale platform capabilities for a leading enterprise client. You will create reusable data products and self-service data access across a complex data landscape, accelerating prototype work into production.

The ideal candidate has 8+ years of platform and data experience, hands-on Databricks, Python, SQL, and Terraform, plus strong governance and orchestration skills.

Qualifications

• 8+ years of platform and data solutions experience.
• Hands-on Databricks experience with workspace, notebooks, jobs.
• Proficient in Python.
• Proficient in SQL.
• Terraform experience strongly preferred.
• Data governance and observability (Unity Catalog, lineage, monitoring).
• Orchestration with Airflow.
• AI fluency and hands-on use of AI agents to design solutions.

Responsibilities

• Design, build, and enhance platform capabilities within Databricks and related technologies.
• Build reusable data products and self-service data capabilities.
• Design and maintain data pipelines and integration frameworks.
• Improve data quality, reliability, lineage, and monitoring.
• Partner with researchers to prototype solutions and productionize delivery.

Skills

Python

SQL

8+ years platform data experience

AI fluency

Tools

Databricks

Terraform

Airflow

CI/CD

Unity Catalog

Job description

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