Data Engineer I - Hybrid/Cloud Data Pipelines

Alpine Bank; Rifle, Grand Junction, Denver (CO, CO, CO); Hybrid; USD 80,000 - 110,000; Full time

Job summary

Alpine Bank in Rifle, CO is seeking a data engineer to design, build, and maintain databases, data lakes, and data warehouses. You will ensure data security, quality, and compliance, and develop scalable ETL/ELT pipelines in collaboration with data analysts and stakeholders.

The role requires 0-3 years in data analytics, familiarity with MS SQL Server stack, Azure data services, Power BI, and Python, with a potential hybrid work arrangement and a drive to stay current with data engineering

Qualifications

• Proven knowledge of data and database design, security, and integrity.
• Experience with MS SQL Server stack (SSRS/SSIS/SSMS/SSAS) and related tooling.
• Ability to design and maintain ETL/ELT pipelines.
• Experience with Python (pyspark) and DAX/MDX expressions.
• Ability to explain complex ideas clearly and work with stakeholders.

Responsibilities

• Design, build, test, and maintain databases, data lakes, and data warehouses.
• Ensure secure and compliant data storage with security staff.
• Design and build ETL/ELT pipelines to move data to target systems.
• Collaborate with data analysts and stakeholders to meet data requirements.
• Keep up to date with trends in data engineering.

Skills

Data architecture

SQL Server stack

Azure data services

ETL/ELT development

Python (pyspark)

Power BI

VS Code & Git

Communication skills

Education

BA/BS in Computer Science or related field

Azure DBA certification (or equivalent)

Tools

VS Code

Git

Azure Data Factory

Azure SQL Databases

Power BI

SQL Server tools (SSRS/SSIS/SSMS/SSAS)

Job description

Alpine Bank in Rifle, CO is seeking a data engineer to design, build, and maintain databases, data lakes, and data warehouses. You will ensure data security, quality, and compliance, and develop scalable ETL/ELT pipelines in collaboration with data analysts and stakeholders.

The role requires 0-3 years in data analytics, familiarity with MS SQL Server stack, Azure data services, Power BI, and Python, with a potential hybrid work arrangement and a drive to stay current with data engineering