Data Engineer (Principal Consultant #1858) — Illinois, United States

Position

Data Engineer (Principal Consultant #1858)

Inventory #

1858

Location

Springfield or Chicago

Union

IFSOE

Department

Software Solutions

Full Salary Range

$64,322 - $109,467

Office Hours

7VFRE7 – 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, mHHdbrPz gDfjD2 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.