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# Data Engineer

- **Company:** ITRANSITION, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Database Queries, Python (Programming Language), Power BI, Tableau (Software), Cloud Platform System, Snowflake, Looker Analytics, Databricks
- **Published:** June 22, 2026
- **Apply:** https://www.itransition.com/careers/middle-senior-data-engineer-databricks

## About the Role

* 3+ years of hands-on data engineering experience, ideally within a consulting or client-facing environment
 * Hands-on experience with Databricks Lakehouse Platform
 * Strong SQL skills and proficiency in Python
 * Experience designing and deploying solutions in cloud environments (Azure preferred)
 * Ability to quickly grasp diverse business domains and adapt technical solutions accordingly
 * Strong communication skills to interact with both technical and non-technical client stakeholders
 * Experience working in agile, fast-paced project environments with shifting priorities

Nice to have

 * Experience with Snowflake
 * Databricks or Snowflake certifications (e.g., SnowPro Core, Databricks Certified Data Engineer)
 * Familiarity with BI tools such as Power BI, Tableau, or Looker
 * Previous experience in sectors like finance, healthcare, retail, or manufacturing is a plus

## Description

We're looking for a Data Engineer (Databricks) who will work closely with clients across various industries to design and implement scalable data solutions tailored to their business needs. This role demands both technical expertise and soft skills, as you'll be translating complex data requirements into actionable architectures and pipelines while engaging directly with stakeholders.
office remoteEuropean UnionPoland, * Interact with client stakeholders to surface data requirements, audit existing systems, and architect scalable, future-proof solutions

 * Design, build, and maintain production-grade ELT/ETL pipelines using modern data stack tools and frameworks
 * Deploy and govern cloud-based data platforms on Azure and AWS, selecting the right approach for each engagement's unique constraints
 * Champion data governance, security, and compliance standards
 * Produce clear technical documentation and lead knowledge transfer sessions that genuinely enable client teams to operate independently
 * Produce clear technical documentation and lead knowledge transfer sessions that genuinely enable client teams to operate independently


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