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# Databricks Expert

- **Company:** Vetted Consultant, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,600.0 - $166,400.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Data Architecture, Python (Programming Language), Performance Tuning, DataOps, SQL Databases, Apache Spark, Multi-Cloud, Information Technology, Production Code, Data Pipelines, Databricks
- **Published:** May 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=10ff8b667cd7d1de

## About the Role

Do you have experience in Spark?, * Bachelor's degree in Computer Science, Engineering, Statistics, or a related quantitative field

 * Deep hands-on expertise with the Databricks Lakehouse Platform
 * Strong command of Apache Spark for large-scale data processing
 * Expert-level Python and SQL - you write clean, efficient, production-ready code
 * Cloud experience across Azure, AWS, or GCP in a multi-cloud context
 * Solid grasp of data architecture principles and a track record designing real-world solutions
 * Databricks Certified Data Engineer Associate or Professional certification a strong plus

## Description

This isn't a backfill. We're launching an entirely new data division within a Fortune 500 organization, and we're looking for an engineer who wants to shape it. You'll have the resources of a global enterprise and the creative freedom of a startup - designing pipelines, architecture, and data products that will power critical business decisions for years to come. If you've ever wanted to build something that truly matters, at real scale, this is it.

What you'll do

 * Design, build, and optimize production-grade data pipelines and architectures inside the Databricks Lakehouse Platform
 * Architect scalable pipelines using Medallion Architecture, CI/CD principles, and rigorous testing standards
 * Tackle advanced engineering challenges - ingesting and transforming complex data from diverse, high-volume sources
 * Own schema management, data observability, governance, and performance tuning end-to-end
 * Champion data quality, integrity, and security across every solution you ship


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