> Markdown version of [/jobs/ext/1411205-data-engineer](https://www.wearedevelopers.com/jobs/ext/1411205-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).

---

# Data Engineer

- **Company:** SUNWEST BANK
- **Location:** Draper, UT, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Microsoft Azure, Cloud Storage, Databases, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Revision Control Systems, Python (Programming Language), Machine Learning, Meta-Data Management, Named Entity Recognition, NoSQL, Performance Tuning, Azure Machine Learning, SQL Databases, Unstructured Data, Workflow Management Systems, Azure Data Factory, Snowflake, Apache Spark, Microsoft Fabric, Pyspark, Virtual Agents, Document Classification, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** July 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=df7175d6a9c889be

## About the Role

(Required)

 * 5-10 years of experience in data engineering with a proven ability to build and maintain scalable data pipelines and ETL/ELT processes.
 * Hands-on experience with Microsoft Azure services, particularly Blob Storage, Microsoft Fabric, and OneLake (or similar lakehouse platforms).
 * Strong development skills using Python, PySpark, and SQL.
 * Experience with orchestration tools such as Apache Airflow, Azure Data Factory, Databricks, or Apache Spark.
 * Experience integrating AI/ML services (e.g., OCR, NLP, Azure Cognitive Services) for document processing and insight extraction.
 * Strong knowledge of relational and NoSQL databases, including schema design and performance optimization.

(Nice to Have)

 * Direct experience with Microsoft Fabric and OneLake; familiarity with Azure Synapse or Snowflake is beneficial.
 * Background in unstructured document processing (PDFs, images, text) using OCR and text-extraction tools.
 * Understanding of NLP or AI/ML techniques for document classification and entity extraction.
 * Experience with data governance, metadata management, and security controls-particularly in regulated environments.
 * Comfort collaborating with data scientists and engineers to deploy AI models; familiarity with Agile methodologies and version control tools.

## Description

The Data Engineer designs, builds, and optimizes Sunwest Bank's Azure-based data infrastructure to support advanced analytics, AI-driven workflows, and enterprise reporting. This role focuses on developing secure, scalable, and high-performance data pipelines across Microsoft Azure services, including Blob Storage, Microsoft Fabric, and OneLake. The Data Engineer plays a critical role in enabling AI-powered document processing by orchestrating ingestion, tagging, extraction, and integration of structured and unstructured data., * Design and optimize Sunwest Bank's enterprise data architecture using Microsoft Azure technologies.

 * Build and maintain scalable data pipelines across Azure Blob Storage, Microsoft Fabric, and OneLake.
 * Develop orchestration engines to manage document ingestion, tagging, chunking, and processing workflows.
 * Implement automated data-extraction pipelines to derive structured insights from documents.
 * Integrate AI/ML services with databases to combine extracted document insights with operational and enterprise data.
 * Ensure data pipelines are secure, efficient, resilient, and optimized for AI-driven applications.
 * Support enterprise analytics and reporting initiatives through well-structured data models and lakehouse architecture.


## 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)
- [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)
- [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [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)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)