Data Engineer

Sunwest Bank; Draper (UT); On-site; USD 110,000 - 170,000; Full time

Job summary

Sunwest Bank is seeking a Data Engineer to design, build, and optimize Azure-based data infrastructure for advanced analytics and AI-driven workflows. The role focuses on scalable pipelines, secure data handling, and enterprise reporting across Blob Storage, Fabric, and OneLake.

The engineer will implement ingestion, tagging, and processing pipelines, integrating AI/ML services for document processing and insights, while collaborating with data scientists and enterprise teams.

Qualifications

• 5–10 years of data engineering experience with scalable pipelines.
• Hands-on with Azure services (Blob, Fabric, OneLake) or similar lakehouse platforms.
• Strong Python, PySpark, and SQL development skills.

Responsibilities

• Design and optimize enterprise data architecture using Microsoft Azure technologies.
• Build and maintain scalable data pipelines across Azure Storage, Fabric, and OneLake.
• Develop orchestration engines for document ingestion, tagging, and processing workflows.
• Implement automated data extraction pipelines to derive structured insights from documents.
• Integrate AI/ML services with databases for combining document insights with enterprise data.
• Ensure data pipelines are secure, efficient, and optimized for AI‑driven applications.
• Support analytics and reporting through well‑structured data models and lakehouse architecture.

Skills

Azure data services

Python

PySpark

SQL

Orchestration tools

AI/ML integration

Data modeling

NoSQL databases

Tools

Azure Blob Storage

Microsoft Fabric

OneLake

Airflow

Azure Data Factory

Databricks

Job 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.

Schedule: Monday – Friday

Work Location: Onsite

Travel: None

What You’ll Do

• 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.

What We’re Looking For

(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.

Why You’ll Love Working Here

• Team Culture
• Benefits or Perks

Physical Demands:

• Sedentary: Limited activity, no lifting, limited walking
• Moderate: Mostly standing, walking, bending, frequent lifting
• X-Light: Office work, some lifting, bending, stooping or kneeling, walking
• Arduous: Heavy lifting, bending, crawling, climbing

The Fine Print

This job description reflects the general nature of the role and may change as business needs evolve. We are an equal opportunity employer. Sunwest Bank works with staff members and customers without regard to race, ancestry, national origin, sex, marital status, age, religion, medical condition, handicap, disability or veteran status and to assist the Bank in maintaining its affirmative action program.

Compliance with Bank Secrecy Act laws and regulations is considered an extremely serious matter, and it is intended that Sunwest Bank, through the purposeful efforts of its employees and officers, are expected to make every resolute attempt to conform to its Bank Secrecy Act Program and Procedures. Failure to comply will be reflected in their performance review as well as in any bonus compensation programs in which they may participate.

Attend and complete all required classroom, computer-based, web-based and seminar training. It is the individual responsibility of every employee to maintain a current awareness and understanding of and to fully comply with Sunwest Bank’s “Code of Ethics and Conduct.” Each employee is also expected to maintain an awareness of the laws, regulations, internal policies and procedures that are appropriate for his/her position.

Note: The preceding job description has been designed to indicate the general nature and level and work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. All job descriptions can be amended without notice as warranted by business necessity.

Federal Deposit Insurance Act This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on Sunwest Bank’s review of criminal conviction history, including pretrial diversions or program entries.