IT Data & Analytics Engineer - Office of Judicial Administration
Listed on 2025-12-14
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IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Data Security
Position number: K0076172
Position Title and Salary: IT Data & Analytics Engineer, Pay Grade – 49 $ 82,299.89 annually
Location of Employment:
Kansas Judicial Center — Topeka, KS
The Data Systems Engineer is a key technical contributor within the Kansas Judicial Branch’s newly established Data, Analytics & AI team. This role supports the development, modernization, and daily operation of the Branch’s data environment, including:
- Modern data platform engineering (Azure, Databricks, ADLS, ADF)
- Data modeling and ingestion pipelines
- SQL and database administration (light-to-moderate)
- Dashboard and analytics enablement
- Operational support for data processes across the Branch
- Applied AI and automation initiatives
This is a hybrid, cross-disciplinary position—ideal for someone who enjoys learning new technologies, solving complex data problems, and working across infrastructure, application development, security, and business units.
This role supports both technical delivery and data governance foundation efforts and will work closely with internal stakeholders and agency leadership to deliver high-impact data solutions that improve judicial operations statewide.
This position is expected to work on site at the Kansas Judicial Center.
Key Responsibilities Data Engineering & Platform Work (Core)- Build, test, and maintain data ingestion pipelines using Azure Data Factory, Databricks, SQL, and Python.
- Support medallion architecture workflows (Bronze → Silver → Gold) for structured and unstructured data.
- Assist with configuration and administration of Azure Data Lake Storage, Key Vault, ADF, Databricks, and related services.
- Maintain metadata tables, pipeline configuration, data quality rules, and automated monitoring scripts.
- Support and troubleshoot SQL Server environments related to analytics workloads, including stored procedures, ETL queries, schema updates, and performance tuning when needed.
- Assist with replication‑based ingestion processes from legacy case management systems.
- Monitor extraction processes, troubleshoot data integrity or latency issues, and coordinate fixes.
- Prepare curated datasets for dashboard developers and analysts.
- Build semantic models, business logic, and KPIs in SQL, Python, or Power BI.
- Assist with dashboard UAT, quality review, and deployment processes.
- Assist the IT Solution Architect in developing, training and supporting AI agents, chatbots, or retrieval workflows on Databricks (training provided).
- Support vectorization tasks, document processing, or metadata preparation for AI projects.
- Maintain internal model registry assets and contribute to responsible AI practices.
- Support data quality, metadata, glossary, and classification work in collaboration with business units.
- Contribute to Service Agreements (SAs), process documentation, SOPs, and governance deliverables.
- Participate in backlog reviews, sprint planning, and DAOSC working sessions.
- Work with Architecture, Infrastructure, Security, Application, PMO, and eCourt teams to ensure reliable data movement and access.
- Provide technical assistance to stakeholders, SMEs, and leadership when data issues arise.
- Help refine intake, triage, documentation, and incident response for data services.
Other Duties as Assigned:
This position will evolve as the Branch matures its data program and adopts new technologies.
Minimum:
High school diploma, GED, or technical program in information technology, computer science, data analytics, or relevant field. Education may be substituted with relevant professional experience.
Candidates should have experience in at least two of the categories below and willingness to learn the others:
Data & Platform Engineering- Experience with SQL, data modeling, ETL/ELT solutions, or pipeline development.
- Familiarity with cloud concepts (Azure preferred).
- Hands‑on experience with one or more:
Python, Power Shell, SQL, or similar scripting languages.
- Experience preparing datasets or supporting dashboards in tools like…
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