Top Senior Level Data & Analytics Jobs in Dallas, TX

Seeking a Senior Oracle Database Administrator with experience in Oracle Goldengate 21c Microservices. Responsibilities include deploying Goldengate 21c to replicate data, maintaining Oracle 19c clusters, automating tasks, and collaborating with the development team. Must have strong experience in Oracle database administration, Data Guard, performance tuning, PL/SQL programming, and OEM administration. Knowledge of RedHat Linux, SAN, and network basics is a plus.

The Database Engineer at sFOX will design, build, and maintain high-volume RDBMS systems for real-time trading applications. The role involves collaborating with software engineers, resolving complex database issues, and enhancing data management standards. Strong knowledge of MySQL and experience in transaction-heavy systems are crucial.

The Lead Data Manager oversees all data management activities in clinical trials, coordinating data management tasks, client communications, and project timelines. Responsibilities include creating study documentation, user acceptance testing, data review, and training Data Managers. The role requires maintaining data quality and conducting project-specific training while ensuring compliance in deliverables and documentation.

Looking for a Senior Oracle Database Administrator with Oracle Goldengate 21c Microservices experience to deploy and maintain database clusters, automate tasks, optimize code, and participate in on-call rotation. Must have experience in Oracle 12c/19c, Data Guard, performance tuning, and PL/SQL programming.

In this role, you will lead the development of AWS-based data pipelines and analytics, manage infrastructure-as-code, optimize databases, and support data-driven decisions across Dwolla's API platform, leveraging your skills in DataOps and cloud technologies.

The Senior Data Quality Analyst will enhance data quality through automation and collaboration with data operations and reporting teams, applying statistical methods and tools to ensure accuracy, completeness, and reliability of data for government health programs, particularly for CMS. Responsibilities include analyzing data, developing quality policies, and presenting findings to stakeholders.

The Senior MLOPs Engineer will architect and optimize ML inference platforms, handling all aspects of development and operations. They will work with cross-functional teams to achieve business objectives through engineering solutions, mentor team members, and ensure the effective deployment of models via scalable inference systems.