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Overview Diligent's Commercial AI Transformation function builds AI agents that automate real workflows across our commercial organization, from sales and customer success to internal operations. We've already…
Designs and maintains BI solutions and reports to support business planning and decision-making using SQL and BI tools.
Designs and implements secure, scalable cloud data platforms and models for a federal judiciary modernization program, focusing on data warehouses, lakes, and governance aligned with government standards.
Lead a team to modernize federal court data systems, setting cloud-based data governance, AI/ML, and analytics strategy while managing Agile delivery and stakeholder communications.
Senior Data Engineer builds and maintains cloud-based data pipelines, ETL/ELT processes, and data platforms for a federal court modernization program using SQL, Python, and cloud services like Snowflake or AWS.
Bridge between federal stakeholders and technical teams to define, document, and govern data requirements for a cloud-based case management system supporting 204+ U.S. federal courts.
Lead a team building secure, cloud-based data pipelines and platforms for a federal judiciary modernization program, using SQL, Python, and AWS services to support analytics and AI/ML workloads.
Lead a federal data modernization effort, translating court-system needs into cloud-based analytics, AI/ML, and reporting solutions while managing requirements, governance, and documentation for 204+ federal courts.
Analyze healthcare claims data to detect fraud, waste, and abuse using SQL and Python, translating partner requests into analytics against a multi-billion record claims warehouse.
Builds and maintains Snowflake data pipelines and models that turn raw security signals into trusted, analytics-ready data for AI-enabled cybersecurity dashboards and automation.
Leads agile teams to design and deliver modern data solutions, balancing trade-offs and providing technical leadership for cloud-based data platforms using AWS, Azure, GCP, or Databricks.
Build and maintain a GCP-based data lake and Spark pipelines to process ride-hailing, delivery, and financial data, enabling AI/ML use cases and cross-team analytics.
Senior Data Business Analyst bridges business needs with data teams, writing SQL queries to analyze Oracle databases and translating requirements into technical specs for a fintech company.
Build and maintain data pipelines, integrate financial market data, and create BI dashboards for asset managers using SQL, SSIS, and tools like PowerBI.
Designs and builds scalable ETL pipelines for a data warehouse using AWS Redshift, Python/R, and Kimball methodology to support ML models and real-time analytics.
Build and optimize data pipelines, warehouses, and products for an insurtech team using Python, SQL, C#, and cloud tools like AWS/Azure.
Senior BI Analyst builds data pipelines, models, and dashboards to turn financial-services data into actionable insights using SQL, ETL, and tools like Tableau or Power BI.
Designs and maintains data pipelines for a financial-services client, integrating source systems with target databases using Ab Initio and Azure Data Factory to deliver clean, governed data for BI and analytics.
Design and build AWS-based ETL pipelines and data warehouses to consolidate operational data, then create dashboards and reports that help executives make data-driven decisions.
Design and build ETL pipelines, data models, and warehouses to consolidate operational data and enable business insights via dashboards and reports.
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