Data Engineer: Enterprise Data & Azure Pipelines

The Chronicle Of Higher Education, Inc.; Fort Worth (TX); On-site; USD 905,000 - 1,084,000; Full time

Job summary

The Chronicle of Higher Education, Inc. is seeking a Data Engineer to support enterprise data solutions within the Ellucian Banner SaaS environment and related data ecosystem.

The role focuses on secure, scalable data access to support reporting, analytics, regulatory compliance, and operational decision-making. Responsibilities include leading data engineering initiatives, designing data movement patterns, and maintaining data models and documentation.

Qualifications

• Bachelor’s degree and five (5) years’ working experience related to the Essential Performance Requirements; or equivalent combination of education and work-related experience.

Responsibilities

• Provides technical leadership for data engineering initiatives and enterprise data pipelines.
• Translates requirements into scalable data solutions and communicates risks and implementation plans.
• Designs batch, event-driven, and API-enabled data movement between Banner SaaS, cloud data platforms, and third-party apps.
• Maintains data models, mappings, metadata, and technical documentation for reporting and analytics.
• Implements data quality controls and monitoring to ensure data accuracy and reliability.
• Leads resolution of production data issues and performs root cause analysis with internal teams and partners.

Skills

Data engineering

SQL

Data modeling

Cloud data services

APIs

Education

Bachelor’s degree

Tools

Azure Data Factory

Azure SQL

Synapse

Fabric

Logic Apps

Functions

Job description

The Chronicle of Higher Education, Inc. is seeking a Data Engineer to support enterprise data solutions within the Ellucian Banner SaaS environment and related data ecosystem.

The role focuses on secure, scalable data access to support reporting, analytics, regulatory compliance, and operational decision-making. Responsibilities include leading data engineering initiatives, designing data movement patterns, and maintaining data models and documentation.