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# Databricks Data Engineer II

- **Company:** Deloitte T.T.L.
- **Location:** Kansas City, MO, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Data Architecture, Data Infrastructure, Python (Programming Language), SQL Databases, Enterprise Data Management, Apache Spark, Data Management, Data Pipelines, Databricks
- **Published:** July 18, 2026
- **Apply:** https://www.kansasworks.com/jobs/13617380

## About the Role

+ Ability to work independently and collaborate as part of a team

 + Effective written and verbal communication skills

 + Meticulous attention to detail and quality of work product

 + Ability to build and sustain professional relationships

 + Ability to lead projects or workstreams

 + Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

 + Strong interpersonal skills and professional demeanor

 + Ability to meet deadlines

 + Ability to provide clear guidance to others

## Description

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making.

Recruiting for this role ends on 07/31/2026.

Work you'll do

As a Databricks Data Engineer on the Core AI & Data team, you will be responsible for:

 + Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)

 + Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns

 + Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases

 + Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance

 + Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs


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