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Top Senior Level Data Engineer Jobs in Dallas, TX
As the Lead Machine Learning Engineer at PMG, you will spearhead the Creative Insight's ML division, developing and implementing machine learning models to analyze ad performance, enhance audience targeting, and lead a team of ML engineers. Responsibilities include innovating solutions, establishing evaluation metrics, and maintaining models in production, all while leveraging Generative AI for improved workflows.
As a Data Architect at Acqueon, you will develop technical strategies to build scalable applications and systems, collaborating with product teams to define the roadmap for product feature development, and managing the delivery of complex features in a fast-paced environment while ensuring quality and timely delivery.
Seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering to shape data architecture and pipelines for a fast-paced, data-driven environment. Responsibilities include leading the design and implementation of innovative data solutions, collaborating with cross-functional teams, and working on industries such as Oil & Gas, Titles & Leases, or Financial Services.
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The Data Engineer role at Dynatron Software involves creating and managing data pipelines and ensuring data quality within the company's SaaS and DaaS products. Responsibilities include leading data architecture initiatives using Snowflake, developing ETL processes, collaborating with cross-functional teams, and addressing data quality issues.
As a Senior Data Engineer, you will design and develop scalable data infrastructure and pipelines, mentor junior engineers, and ensure high-quality reporting and analytics to drive business success. Responsibilities include optimizing data models, collaborating with teams, and enforcing data quality standards.
The Lead IT Architect for Master Data at McKesson will establish the architectural vision for SAP Vistex-related solutions, oversee development and delivery, and improve technology processes for finance and accounting. They will ensure platform reliability, design Master Data solutions, and collaborate with business partners to enhance financial results and streamline operations.
The PostgreSQL Database Engineer is responsible for providing support to end users, managing incidents and problems, and ensuring compliance with management policies. This role involves leading triage activities, documenting application flows, and assessing business impacts through monitoring and logging. The engineer will also prioritize research requests and serve as a subject matter expert for assigned applications.
The Director of Data Science will lead the Data Science team, focusing on Big Data Analytics, AI, and ML to meet client needs. They will manage a portfolio of government projects, ensure team skills and resources are adequate, and drive operational policies and goals while maintaining high standards of service quality.
The Data Engineer develops and maintains complex data solutions, creating data pipelines in AWS, optimizing ETL processes, ensuring data quality and governance, troubleshooting data issues, and documenting solutions. This role requires collaboration with cross-functional teams and a strong understanding of data engineering technologies.
The Senior Database Administrator will design and maintain database management systems, develop data warehouses, and ensure data quality while leading the integration of data from multiple systems into a modern data pipeline. Responsibilities include adherence to coding policies, risk management, and mentoring junior staff in best practices.
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