Top Data Engineer Jobs in Pensacola, FL
Seeking a Machine Learning Engineer in Perception to develop robust models for self-driving vehicles. Responsibilities include prototyping new algorithms, optimizing model performance, and supporting hardware projects. Ideal candidates should have a solid understanding of computer vision fundamentals and experience with ML model development.
Lead the implementation of Oracle Master Data Management solutions across multiple sectors. Develop and maintain data quality rules and ID translations. Work with technical and functional teams to address finance, supply chain, marketing, and operational requirements.
Lead and direct the implementation of Oracle Master Data Management solutions across multiple sectors. Demonstrate expertise in data analytics and data management. Collaborate with technical and functional teams to address finance, supply chain, marketing, and operational requirements.
Lead and direct the implementation of Oracle Master Data Management solutions across various sectors. Responsible for sourcing, cleansing, and maintaining data quality for master data. Manage technical and functional teams and address finance, supply chain, marketing, and operational requirements.
The Data Modeler role at Zayo involves designing, implementing, and maintaining data models across Snowflake, Azure, or AWS environments. Responsibilities include translating business requirements into effective data models, optimizing database performance, and ensuring compliance with data governance standards.
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Looking for a Snowflake Data Architect to lead the development of Enterprise Data and Analytics Platforms, optimize data pipelines, and provide guidance on data governance. Must have expertise in Snowflake, SQL, Unix Shell Scripting, Python, and AWS PAAS model. This is a consulting role with 50% travel expectations.
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Senior Machine Learning Engineer responsible for developing cutting-edge ML models and algorithms for strategic investment decisions. Partner with various stakeholders to refine growth strategy and inform investment decisions with data. Stay updated on the latest trends in machine learning and data science.
Seeking a Senior Machine Learning Engineer with expertise in attribution to expand Square's measurement system, partnering with various teams to drive growth and inform investment decisions with data, and staying updated on advancements in machine learning and data science.
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Design, develop, and maintain software applications using SQL, Python, Snowflake, Kafka, AWS, Terraform, Kubernetes, and Docker. Collaborate with product teams, participate in SDLC, and deploy data-intensive systems. Minimum 5 years of experience required.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with various engineering teams to deliver core infrastructure and optimizations. Open to candidates in Canada and US excluding specific areas in San Francisco Bay Area and NYC Metro Area.
Develop end-to-end ML applications to increase safety, efficiency, and sustainability of physical operations. Collaborate with engineering teams to deliver core infrastructure and optimizations. Opportunity to impact real-world industries and work on scalable technology innovations.
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with engineering and product teams to incorporate AI technologies into the roadmap. Architect elegant and reusable components for AI solutions. Champion AI strategies and industry trends to company leadership.
As a Data Engineer at NBCUniversal, you will build data pipelines and applications to support strategic business decisions related to content. You will work with stakeholders to design, build, and scale data pipelines, automate processes, and optimize data delivery. The role involves collaborating with internal teams and creating flexible and scalable analytics applications and databases.
The Sr. SQL Data DBA participates in the design, development, implementation, review, and monitoring of all on-premises and cloud database environments. Collaborates with software development, data engineering, and QA teams to ensure efficient operations and provides guidelines on best practices.
Lead a data-driven Marketing program using quantitative data and technology to attract and retain users. Manage a team of marketing data scientists and collaborate with various departments to drive corporate reporting and planning.
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