Top Data Engineer Jobs in Provo, UT
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.
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As a Senior Analytics Engineer at Lob, you will design data pipelines, develop data models, and collaborate with various teams to deliver actionable insights. You will implement analytics best practices, mentor engineering colleagues, and advocate for data governance and quality metrics, while leveraging your experience in data visualization and analytics tools.
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 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 is responsible for migrating data from legacy systems, developing scalable data pipelines, managing data sources, and ensuring data quality and security. They will also perform audits, work on data warehouse architecture, and integrate new data sources for improved business decision-making.
As a Senior Analytics Engineer at Weave, you will develop and optimize data models for accurate analytics and reporting, work collaboratively with various departments to create tailored solutions, and mentor fellow engineers. You will also enhance documentation for self-service analytics and support analysts in drawing insights from structured data.
As a Data Engineer at Aristotle, you will be responsible for developing data load processes, designing and implementing solutions using .NET/SSIS/SQL Server technologies, building web-based reporting systems, collaborating on data transformation rules, and optimizing ETL processes. You will work on enhancing system performance, creating documentation, and following industry-standard practices.
The Product Master Data Manager oversees the integrity and quality of product master data, leads MDM projects, ensures compliance and governance, and collaborates with various departments to maintain accurate product information for decision-making.
The Analytics and Reporting Engineer at Five9 is tasked with gathering customer requirements and developing custom reports utilizing Five9's Analytics products. Responsibilities include ensuring timely project delivery, collaborating with team members and clients, helping the Professional Services Team, and mastering necessary software tools to provide customer support.
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