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Data Engineer

Alpine Bank

$90,000 - $120,000
Sep 4, 2025
Grand Junction, CO, US
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Alpine Bank is seeking a Data Engineer to design, build, maintain, and optimize the data analytics infrastructure to ensure data is accessible and usable for analytics and operational purposes across the enterprise.

Requirements

  • Excellent knowledge of data and database standard designs, theories, backup, recovery, security, and integrity along with end user application connections.
  • In depth understanding of Microsoft SQL Service Stack, SSRS, SSIS, SSMS & SSAS and able to create and manage solutions using these tools.
  • Working knowledge of VS code, git, code repositories, Azure data factory, Azure SQL databases.
  • ETL/ELT creation, modification, and monitoring.
  • Experience with Microsoft Fabric, Microsoft Power BI, Azure Dev Ops, Microsoft Visual Studio.
  • Experience in SQL (TSQL, DB2), Python (pyspark), DAX/MDX expressions.
  • Experience with Bicep, Terraform, PowerShell is a plus.

Responsibilities

  • Designs, builds, tests, and maintains databases, data lakes, and data warehouses.
  • Implements data quality checks and validation processes.
  • Designs and builds ETL/ELT pipelines to move data from various sources to target systems.
  • Optimizes data flow and storage for performance and cost.
  • Works with SMEs to model data in line of business data domains and producing ERDs.
  • Monitors and manages the performance of data systems.
  • Administers data security, privacy, and consistency across systems according to policy.

Other

  • BA/BS in Computer Science or related field, or equivalent training and experience.
  • Industry relevant certifications. i.e. MS Azure DBA.
  • Possession of, or ability to obtain, a valid State of Colorado Driver’s License is required.
  • Regular and reliable attendance is required as an essential function of this position.
  • This job operates in a professional office environment, that may have a hybrid schedule to include remote work and in office but can change at any time.