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| Position Data Engineer (Principal Consultant #1086, 1858) Location Springfield or Chicago 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. 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.
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