Data Engineer (Principal Consultant #1086, 1858)

Data Engineer (Principal Consultant #1086, 1858)

Location: Springfield or Chicago

Union: IFSOE

Department: Software Solutions

Anticipated Starting Salary Range: $64,322 - $81,284

Full Salary Range: $64,322 - $109,467

Office Hours: Monday – Friday 8:00 a.m. – 5:00 p.m.

Posted Date: July 1, 2026

Closing Date: Open Until Filled

Software solutions department is seeking a skilled and experienced Data Engineer to provide support for Agency initiatives revolving around the ISBE data warehouse. The ideal candidate will have a strong background in data architecture, data modeling, and Extract, Transform, Load (ETL) processes. This position functions under general supervision and reports to a supervisor.

Duties and Responsibilities

• Develops, optimizes, and troubleshoots ETL/ELT processes to extract, transform, and load data from multiple sources.
• Supports ongoing data warehouse operations such as data migration, reporting, analysis, troubleshooting, and performance tuning.
• Collaborates with data engineers, analysts, and business stakeholders to deliver scalable data solutions.
• Interprets data and analyzes results using statistical techniques and provides ongoing reports.
• Creates and maintains documentation on large scale data warehouse models and processes.
• Identifies, analyzes, and interprets trends or patterns in complex data sets.
• Supports reporting and bi tools by preparing datasets, building queries, and optimizing data access.
• Participates in data governance, quality initiatives, and best practice development.
• Performs other duties as assigned.

Required Qualifications

• Bachelor's degree in Computer Science or other IT related field with 5-8 years of experience, or, an Associate's degree in one of these fields with 5-8 years of experience performing development and application analysis work. (COPY OF TRANSCRIPTS REQUIRED AT TIME OF APPLICATION)
• Minimum of five years of experience in data warehousing and relational databases.
• Hands‑on experience with data warehousing concepts (Star Schema, Snowflake, fact/dimension tables).
• Proficiency with ETL/ELT tools and data integration technologies.
• Proficiency in Microsoft SQL server, data modeling tools, ETL tools and data warehousing technologies.
• Strong SQL skills.
• Strong understanding of database concepts and data modeling.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
• Excellent verbal and written communication skills, with the ability to effectively communicate complex technical concepts to non-technical understanding of ISBE application framework to troubleshoot and support user interfaces (e.g., Data Quality Dashboard, Illinois Report Card, My Data Dashboard, data verse.)
• GIT version control ability to translate business needs into technical requirements.
• Excellent communication and documentation skills.

Preferred Qualifications

• Experience with BI tools (Power BI, Tableau, Looker).
• Knowledge of cloud-based data migration and implementation.
• Knowledge of scripting languages (Python, Shell).
• Background in education data and reporting background in data governance, data quality, or master data management.
• Familiarity with cloud data platforms (e.g., Azure, AWS, Google Cloud).
• Familiarity with AI technology and tools.