Top Data Engineer Jobs in Dallas, TX
The Solutions Architect at CDW specializes in Microsoft Data and AI solutions, engaging directly with clients to understand their business needs, creating technical solutions, and overseeing the delivery process. This role emphasizes presales support, document preparation, sales planning, partner relationship management, and the development of intellectual property
As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.
As a Senior Data Engineer on the Finance team, you will manage financial data pipelines, ensuring accurate reporting and collaborating with cross-functional teams. You will design scalable solutions and have autonomy in driving key initiatives that impact the company's financial data vision.
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Data Engineer II role involves gathering and analyzing data management requirements, developing systems for data reporting, and implementing technical solutions. Responsibilities include data pipeline engineering, testing, deployment, and participating in Agile ceremonies. The position requires collaboration with senior team members and a growing familiarity with best practices in data management.
The DB2 DBA will design and implement database solutions, administer DB2 and Cloudant, create and schedule DataStage jobs, perform SQL creation, and ensure compliance with database architecture standards. They will also analyze customer needs and develop creative solutions to enhance performance.
The Oracle Database Administrator will manage various database management systems, ensuring their functionality and performance. The role requires familiarity with multiple platforms such as Oracle, DB2, MYSQL, SQL Server, and Sybase.
As the Lead Machine Learning Engineer, you will develop and implement machine learning models for digital advertising performance, collaborate with software engineers, innovate ML solutions, mentor a growing team, and ensure models are effective and scalable.
The Graduate Leadership Program in Data Analytics at PMG offers a full-time role for new graduates, focusing on data analytics in digital marketing. Participants will undergo an intensive training program, gain hands-on experience using PMG's technology to derive business insights and build a network in the marketing industry.
In this role, you will lead various data and analytics projects, collaborating with client leaders to address business challenges using data-driven strategies. Responsibilities include designing and executing analytics strategies, mentoring junior staff, and supporting the growth of the consulting practice.
Lead transformational change for clients by designing and executing data and analytics strategies. Collaborate with client leaders to address business challenges using data insights, contribute to practice direction, and work alongside teams to implement analytics initiatives. Provide mentorship and support to grow within a dynamic consulting environment.
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