> Markdown version of [/jobs/ext/3469244-senior-databricks-engineer](https://www.wearedevelopers.com/jobs/ext/3469244-senior-databricks-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Databricks Engineer

- **Company:** Blue Orange Digital
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $146,364.0 - $167,270.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Information Engineering, Python (Programming Language), SQL Databases, Pyspark, Databricks
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d0fb1a53c7aed70e

## About the Role

* Hands-on Databricks experience building end-to-end pipelines
 * Strong Python, SQL, and PySpark skills
 * Experience implementing materialized views and medallion-layer (bronze/silver/gold) architectures
 * Comfort investigating unfamiliar data sets independently and communicating clearly what you find
 * Availability for the full engagement arc, up to 26 weeks if it extends
 * Strong written and spoken English, with the ability to communicate effectively and professionally with clients and teammates

Preferred qualifications:

 * "Art of the possible" demo experience
 * Azure experience

## Description

Blue Orange Digital is hiring a Senior Databricks Engineer for a discovery and architecture engagement with a global management consulting client. You will own hands-on, end-to-end Databricks pipeline work, investigating and structuring data the client already has and building medallion-layer (bronze/silver/gold) pipelines that hold up to real technical scrutiny., * Build and maintain end-to-end Databricks pipelines using bronze/silver/gold medallion architecture

 * Write hands-on data engineering code in Python, SQL, and PySpark, including materialized views
 * Investigate unfamiliar or undocumented client data and report findings back to the team and client
 * Participate in technical conversations with the client, holding your own on engineering, data modeling, and governance questions
 * Support "art of the possible" demo work as the engagement moves into later phases