View Job description for IT Data Analytics Engineer

Position Summary:

The College of Western Idaho is looking for an IT Data Analytics Engineer who thrives at the intersection of data transformation data engineering and modern data platform development. This is not a report-writing or dashboard development role. It is a hands-on engineering position focused on building and maintaining a data pipeline that supports reliable consistent analytics across CWI.

Youll work at the center of CWIs Microsoft Fabric environment transforming mirrored operational data from Azure SQL Managed Instance into well-structured analytics-ready datasets that serve the Colleges data and analytics team. Your work will serve as a critical technical bridge between source systems and data analysts improving the quality reliability and usability of institutional data across the college.

Essential Functions:

Analytics Engineering & Data Preparation

Develop and maintain Microsoft Fabric notebooks to transform and curate operational data for analytics consumption

Working with the data warehouse architect and data analysts create and maintain curated tables provide technical expertise and optimize the data pipeline for efficiency and consistency.

Apply SQL Spark and/or Python transformation patterns to produce clean validated analytics-ready datasets

Validate data quality and consistency across curated data layers documenting findings and with enterprise application team members to map application data entry and data flow through centrally managed systems.

Validate enterprise application data against systems of record developing an understanding of how the data is defined and used within those systems.

Collaborate with information technology application team members and analysts to support system reporting and internal IT reporting needs. Partner with the data warehouse architect to align workspace design with the foundational data warehouse architecture ensuring workspaces are effectively built to support the data and analytics team.

Maintain documentation and ensure standards compliance across all analytics engineering deliverables

Fabric Workspace Support

Support assigned Microsoft Fabric workspaces within established governance and architectural standards

Organize and manage analytics assets across Development Test and Production environments

Create workspaces and apply workspace access controls as directed by platform and governance owners

Work with data governance to implement uniform transformations and data cleansing across the data pipeline in alignment with approved business rules

Identify triage and escalate platform or data issues as needed to maintain pipeline and workspace reliability

GitHub Enterprise & Collaboration

Version control all notebooks and transformation assets using GitHub Enterprise

Follow pull request and peer review practices to ensure code quality consistency and auditability

Support controlled promotion of analytics assets across environments through established CI/CD patterns

Partner with information technology team and business units to align on data contracts and delivery expectations

Minimum Qualifications:

Bachelors degree in Computer Science Information Systems Data Analytics or a related field or equivalent professional experience

35 years of professional experience in analytics engineering data engineering or business intelligence roles

Hands-on experience with Microsoft Fabric analytics workloads including notebooks lakehouses and curated datasets

Strong SQL skills with working knowledge of Spark and/or Python for data transformation workflows

Experience using Git or GitHub Enterprise pull requests branching strategies and version-controlled development workflows

Solid understanding of analytical data modeling principles including dimensional modeling and layered data architecture

Strong written and verbal communication skills you can document complex data logic clearly for both engineers and non-technical stakeholders