Top Artificial Intelligence Data & Analytics Jobs in Dallas-Fort Worth, TX

Design and maintain scalable ETL/ELT pipelines, develop data solutions using Databricks and Snowflake, and collaborate with cross-functional teams to ensure data quality and performance optimization.

The Data Engineer will design, build, and deploy scalable data solutions, optimize data flows, and implement ETL processes, leveraging various cloud platforms and technologies.

The Sterling Data Analyst will enhance order entry systems, maintain Oracle databases, and analyze data for integration with Sterling applications, requiring strong SQL skills.

The Business Analyst will manage business and system requirements for the Medicaid Managed Care Program, focusing on UAT Testing, stakeholder liaison, and requirement traceability throughout the project lifecycle.

The role involves reviewing Japanese texts, providing feedback, developing evaluation rubrics, editing content, and collaborating with teams to ensure high-quality language output in digital projects.

As a Senior Data Engineer, you will design and maintain data warehouses, ensuring data quality, manage data transformations, and mentor others while partnering with various stakeholders.

Investigate financial transactions to identify potential money laundering activities, utilize AI for analysis, document findings, and collaborate with product teams on improvements.

The role involves designing and building data processing pipelines, managing data accessibility and security, collaborating with teams, and mentoring junior engineers.

The People Insights Associate will analyze talent data to provide actionable insights for decision-making, manage HR analytics tools, and collaborate with teams to improve data usage and reporting.

Data Annotation Specialists evaluate and improve AI model safety by labeling content, applying nuanced judgment, and creating test cases while ensuring data quality and consistency.