Top Data Engineer Jobs in Peoria, IL
The Staff Analytics Data Engineer will lead and own strategic data projects, architect scalable data pipelines, solve complex data challenges, refine development processes, and collaborate with business partners. The role involves developing and optimizing data pipelines for actionable insights and ML workloads across Pfizer's Commercial business.
As a Senior Software Engineer in the Central AI team at Atlassian, you will build and maintain core infrastructure for machine learning. Responsibilities include solving complex problems, leading projects, and collaborating with teams. The role requires 5+ years of software development experience, fluency in Java, Kotlin, Python, and expertise in AWS, Apache Spark, and Machine Learning projects lifecycle.
At Atlassian, the Senior Machine Learning Engineer position offers a competitive base pay range of $165,500 - $265,800 in the United States across three geographic pay zones. The role may also include benefits, bonuses, commissions, and equity.
Seeking a Principal Machine Learning Engineer to drive the development and implementation of cutting-edge machine learning algorithms for Atlassian products and services. Responsibilities include designing system and model architectures, conducting experiments, and providing guidance to ML engineers.
Seeking a Program Manager, Training to serve as the owner of the Data/AI learning portfolio. Responsibilities include collaborating with subject matter experts, designing training materials, staying updated on data and AI technologies, and managing budgets for training programs.
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Lead a team of data scientists to partner with marketing, sales, growth, and product teams to drive revenue growth, optimize marketing strategies, and launch high-impact initiatives. Develop quantitative models, analyze marketing campaigns, and provide data-driven insights to improve marketing performance. Build scalable data foundations and execute standards for long-term growth. Monitor and analyze experiments to optimize marketing campaigns and promote best practices.
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.
The CDE Data Engineer will be responsible for implementing and maintaining systems that ingest, process, and store vast amounts of data from internal and external partner systems. They will work with technologies to build models, alerts, reports, and visualizations from large quantities of data.
The Lead Data Specialist at Endpoint will supervise a team within Data Management, manage day-to-day operations, interact with study teams, and ensure database integrity. Responsibilities include handling critical issues, training team members, drafting SQL scripts, managing data change requests, and collaborating with clients and IT teams. Requires a Bachelor's degree, 4-7 years of relevant experience, and leadership skills.
The Data Migration Specialist at AffiniPay is responsible for conducting the full life cycle of the data migration service, including data profiling, cleansing, strategy design, execution, and technical support. They work closely with customers to ensure smooth migration processes and maintain accurate and consistent data. This role requires a blend of technical skills, customer service experience, and attention to detail.
Looking for a Senior Data Engineer to work on enhancing datasets and data products with a focus on data quality and best practices. Responsibilities include working with SQL, analyzing complex data, building ETL pipelines, collaborating with peers, and optimizing solutions. Qualifications include 5+ years of Data Engineering, knowledge of data quality tools, and hands-on experience with continuous integration tools. Bachelor's degree in a technical field preferred. Unlimited paid time off and various benefits are offered. The company's mission is to provide free access to information while prioritizing consumer privacy and security.
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop Natural Language Processing and Gen AI models to enhance customer support, collaborate with cross-functional teams, monitor model performance, and prepare reports on trends.
Top Companies in Peoria, IL Hiring Data + Analytics Roles
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