Overview
Title : Data Engineer
Institution : Volunteer State Community College
The Data Engineer is responsible for designing, building, and maintaining data pipelines to ensure seamless data flow and integration. This position leverages Python, SQL, and Delta Lake within the Microsoft Fabric ecosystem to acquire, transform, and manage data from source systems like Ellucian Banner as well as external APIs. The Data Engineer ensures data is effectively structured, reliable, and optimized to support college-wide data needs and various strategic initiatives. Working extensively with enterprise systems and emerging data technologies, the Data Engineer creates a robust foundation for the college's data ecosystem and may explore advanced techniques to enhance data reliability and scalability. The role utilizes expertise in data lakehouse management, data pipeline creation and support, and analytical reporting skills. The position will acquire and analyze data from various internal and external sources, designing a cloud-based data platform for analytics and business intelligence, providing consistent and reliable data to Business Intelligence Analysts and the campus community. The Data Engineer will also work with the President's Office supporting Project Management efforts.
Job Duties
Minimum Qualifications
Associate's degree and three years of related experience OR Bachelor's degree and one year of related experience.
Experience in computer programming with Python and SQL.
Microsoft Fabric Analytics Engineer Associate Certification.
Microsoft Power BI Data Analyst Associate Certification.
Preferred Qualifications
Datacamp Data Engineer Associate Certification.
Datacamp SQL Associate Certification.
CompTIA A+ Certification.
CompTIA Network+ Certification.
CompTIA Project + Certification.
Technical experience with Ellucian Banner.
Experience in higher education.
Knowledge, Skills, and Abilities
Knowledge of various programming languages such as Python and SQL.
Knowledge of data visualization and reporting tools such as Power BI, Tableau, and Looker.
Knowledge of Data Transformation tools such as Polars, Pandas / NumPy, Apache Spark, dbt, etc.
Knowledge of Delta Lake features like time travel, schema enforcement, or ETL optimization.
Knowledge of cloud data ecosystems such as Microsoft Fabric, AWS Data Lake, Databricks, Google Data Lake, and Snowflake.
Knowledge of data orchestration tools such as Apache Airflow, Azure Data Factory / Fabric Data Factory, and Google Cloud Composer.
Strong understanding of REST API concepts.
Familiarity with Java, Scala, and Rust is a plus.
Ability to write shell scripts using languages such as PowerShell or bash to automate data refreshes effectively.
Ability to handle multiple tasks simultaneously and meet deadlines.
Ability to restructure transactional data into meaningful data models, such as star schemas.
Must be detail-oriented, highly organized, and self-motivated.
Pay Rate : $62,385 - $77,981 annual salary depending on experience
Benefits
Special Instructions to Applicants
Unofficial transcripts are acceptable for the application process. Official transcripts will be required upon hire.
Applicants may be subject to a background check.
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Data Engineer • Gallatin, TN, US