Job Summary

The Data Engineer II designs, develops, maintains and optimizes the data infrastructure for our data lake and data warehouses to support enterprise business intelligence and data-informed decision making. Responsible for building and optimizing scalable data pipelines and systems for data integration, processing, and storage; ELT/ETL processes and data dashboards. This role involves integrating data from various applications and managing data lake processes. The engineer also provides support for business report writing and automation, ensuring data integrity and optimizing database performance.

Responsibilities

Design, develop, and maintain scalable and reliable data pipelines for ingesting, transforming, and loading structured and unstructured data from diverse sources Build and manage robust ETL/ELT processes to ensure data quality, integrity, and availability Monitor and optimize the performance of data pipelines and database systems, identifying and resolving bottlenecks Create and maintain comprehensive documentation for data architectures, pipelines, and processes Implement and manage data models to support analytics and reporting needs Integrate data sources into platforms such as Snowflake, Power BI, or Tableau Implement data quality checks, monitoring, and anomaly detection to ensure the reliability of data used for model development and deployment. Contribute to data governance best practices Identify and mitigate data security and privacy risks Keep abreast of new technologies and best practices in data engineering, big data, and machine learning operations

Required Qualifications

Educational Requirements Bachelor's Degree in Computer Science, Information Systems, or other appropriate degree Required Experience Five or more years of related work experience in data engineering, including data pipeline development and optimization, ETL/ELT processes, and data integration Proficiency with at least one of the following programming or query languages: SQL, Python, Java, R

Preferred Qualifications

Preferred Experience Experience with Snowflake and Microsoft Power BI

Proposed Salary

$68,369 - $88,934

Required Documents to Attach

Resume Cover Letter Two (2) Professional References

Knowledge, Skills, & Abilities

ABILITIES Consistently exhibit engaging customer service Ability to support various constituencies served by the University Proven proficiency with computers including Microsoft Office, Google, and/or applications as required for specific position Ability to learn and adapt to new technologies Ability to use independent judgment Ability to work independently as well as in a team Ability to manage multiple projects, meet deadlines, and adapt to frequent change KNOWLEDGE Adhere to University policies and procedures to meet Institutional goals and support University's mission for student success SKILLS Effective communication (verbal and written), organizational and human relations skills Effective, problem-solving, time management, analytical, and detail orientation skills

Apply Before Date

September 9, 2025