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Business Intelligence Engineer

Listing for: Oklahoma AG
Full Time position Listed on 2026-11-14
Job specializations:
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR

Job Description & How to Apply Below

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** Business Intelligence Engineer
** The Administrative Office of the Courts (AOC) is seeking a self-motivated person to join the organization as a
** Business Intelligence Engineer**. The candidate should possess the skills necessary to provide development and operational support for the information systems of the Administrative Office of the Courts.  
** Position

Description:

** Reporting to the Data Systems Manager, this role is responsible for performing high-quality data migration, data integration, administering an enterprise reporting platform, and analytics. The role combines enterprise-grade ETL engineering with structured reporting and data governance practices. AI generative and agentic capabilities will be used to assist with data mapping and transformation, identify data quality issues and anomalies, and generate and validate reports and analytics.

** Salary:
** Commensurate with education and experience.  
** FLSA Exemption:
** Exempt  
** Responsibilities and Essential Functions will include (but not be limited to) the following:*
* ** Data Migration, BI & Analytics Engineer
*** Analyze source and target systems, data structures, constraints, and business requirements to develop data mappings and transformation logic.
* Develop, execute, and maintain ETL pipelines using SQL, SSIS, Azure Data Factory (ADF), or equivalent tools to migrate data and populate data warehouses and data marts.
* Perform data profiling, cleansing, deduplication, quality checks, reconciliation, and pre- and post-migration validation, including identification of county-specific anomalies.
* Support migration planning, dry runs, cutovers, incremental data loads, rollback procedures, and post-deployment stabilization.
* Design, develop, deploy, and maintain secure, highly available data warehouses, data marts, and Business Intelligence (BI) solutions using Microsoft BI technologies.
* Develop and maintain dashboards, reports, analytical models, SQL queries, stored procedures, and data visualizations that support operational and business needs.
* Translate business requirements into actionable reporting and analytics solutions, documenting report purpose, business logic, and dependencies.
* Develop data monitoring models and establish strategies for data acquisition, transformation, warehousing, reporting, and analytics.
* Design, develop, and maintain database objects, including tables, indexes, views, stored procedures, functions, ETL packages, analytical models, and reports.
* Monitor and optimize database performance, reliability, scalability, and security across development, testing, staging, and production environments.
* Manage database deployments, updates, and migrations across environments while maintaining data integrity and operational standards.
* Provide guidance and support to database administrators and application developers on database design, development, deployment, and performance tuning.
* Maintain data dictionaries, mappings, lineage, database architecture, and implementation documentation.
* Ensure data accuracy, integrity, confidentiality, security, retention, and compliance with MIS standards and court privacy requirements.
* Performs other related duties as assigned.  
** Knowledge, Skills & Abilities
*** Strong proficiency in SQL, database development, administration, performance tuning, troubleshooting, and security.
* Experience with ETL development, data migration, data warehousing, BI platforms, and large relational and dimensional data models.
* Experience with Microsoft BI technologies Power BI, and/or Azure Data Factory.
* Ability to use AI tools to improve data quality, develop and troubleshoot transformations using SQL, Python, Power Query/M, and DAX, perform exploratory and statistical analysis, and enhance data modeling, visualization, and reporting.
* Knowledge of conceptual, logical, and physical data modeling, including indexing, aggregation, and query optimization.
* Experience with version control and development collaboration tools such as Azure Dev Ops or Git Hub.
* Strong analytical, problem-solving, documentation, and communication skills, with the ability to translate technical findings into clear business insights.
* Ability to work independently and collaboratively, demonstrate initiative, and adapt to changing priorities.
* Ability to understand complex, multi-system data environments and design scalable solutions that meet current and future organizational needs.
* Experience with Azure cloud technologies.
*…
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