IT Data & Analytics Engineer - Office of Judicial Administration

Overview

• Modern data platform engineering (Azure, Databricks, ADLS, Azure Data Factory)
• 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

• 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, Azure Data Factory, Databricks, and related services.
• Maintain metadata tables, pipeline configuration, data quality rules, and automated monitoring scripts.

• Support, troubleshoot, and monitor SQL Server environments related to analytic and operational workloads.
• 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.

• Support data quality, metadata, glossary, and classification work in collaboration with business units.
• Contribute to Service Agreements (SAs), process documentation, SOPs, and governance deliverables.

• Work with 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.

Required Education

Required Experience

• Experience with SQL, data modeling, ETL/ELT solutions, and pipeline development.
• Familiarity with cloud concepts (Azure preferred).

• Hands-on experience in production environments with one or more of the following: Python, PowerShell, SQL, or similar scripting languages.

• Experience preparing datasets or supporting dashboards in tools like Power BI, Tableau, or similar.
• Experience building KPIs, metrics, or calculations.

• Understanding of identity, networking, storage, and DevOps concepts.

• Ability to communicate with technical and non-technical staff.
• Ability to learn new tools and adapt quickly.
• Ability to work both independently and collaboratively.
• Ability to train adjacent IT team members.

Preferred Qualifications

• Experience with Azure Data Factory, Databricks, or cloud analytics platforms.
• Experience with version control (Git), CI/CD (Azure DevOps), or infrastructure-as-code.
• Experience with data governance, metadata, data quality, or cataloging.
• Experience with AI/ML tooling (MLflow, vector search, RAG frameworks).
• Experience in government, courts, or public-sector data environments.
• Certifications in Azure data/AI (DP-203, DP-100, AI-102, AI-900, etc.) or equivalent practical experience.

Applications Accepted Until Filled