> Markdown version of [/jobs/ext/2534826-databricks-data-engineer](https://www.wearedevelopers.com/jobs/ext/2534826-databricks-data-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). --- # Databricks Data Engineer - **Company:** Motion Recruitment Partners LLC. - **Location:** Chicago, IL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Machine Learning, Query Optimization, SQL Databases, Workflow Management Systems, Google Cloud, Cloud Platform System, Azure Data Factory, Apache Spark, Event Driven Architecture, Microsoft Fabric, Pyspark, Apache Kafka, Terraform, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** August 20, 2026 - **Apply:** https://www.dice.com/job-detail/2a1a205a-a5ea-4b4a-a846-024d77248721 ## About the Role * 7+ years of experience in Data Engineering, Data Warehousing, or Data Platform development * 3+ years of hands-on Databricks experience in a production environment * Strong expertise with PySpark and Apache Spark * Advanced SQL development and query optimization skills * Experience building ETL/ELT pipelines at enterprise scale * Experience working within Azure, AWS, or Google Cloud Platform cloud environments * Excellent communication skills and ability to partner with technical and business stakeholders Desired Skills & Experience * Azure Data Factory, Azure Synapse, or Microsoft Fabric experience * Experience with Kafka or event-driven architectures * Databricks Workflows, Airflow, or similar orchestration tools * Infrastructure as Code using Terraform or ARM templates * Experience supporting AI, Machine Learning, or advanced analytics initiatives * Prior experience mentoring engineers or leading technical initiatives ## Description Tech Breakdown * 50% Databricks / PySpark / Spark * 25% Azure Data Platform Services * 25% SQL & Data Modeling Daily Responsibilities * 70% Hands On * 30% Team Collaboration ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)