Top Data Engineer Jobs in Fayetteville-Springdale-Rogers
Build infrastructure for handling metadata, scale Dropbox data-fabric, optimize analytics platform
Seeking a skilled MLOps Engineer to spearhead model deployments for Computer Vision and Machine Learning. Responsibilities include designing and implementing MLOps pipelines, managing the lifecycle of models, optimizing cloud infrastructure, collaborating with the team, and staying updated on industry trends.
Chainlink Labs is looking for a Senior Data Engineer with 5+ years of experience in cloud-based big data systems, SQL, Python, and real-time streaming (specifically Kafka). The role involves designing, building, and scaling production services and owning multi-month projects.
Chainlink Labs is seeking a Data Engineer with 3+ years of experience in a collaborative product-driven environment. The role involves working on cloud-based big data systems, utilizing SQL and Python, and having a deep understanding of real-time streaming, particularly Kafka.
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Lead Data Management Consultant proficient in Python scripting. Responsibilities include use case development, automation, consulting, product development influence, knowledge sharing, documentation, and analytics. Minimum qualifications include a Bachelor's or Master's degree and 8 years of experience in data management solutions.
As a Consultant on our Data Integration (DI) team, you will be implementing our software and partnering directly with key team members at the largest health systems in the world. Responsibilities include understanding and communicating integration specifications, using SQL and Microsoft Excel to solve complex problems, gaining a deeper understanding of common data types and source systems, and collaborating with technical teams.
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.
As a Security Governance Partner for Cash App's Machine Learning and Data Science, you will act as a security domain expert, collaborate with various teams, automate governance tasks, drive security requirements, and promote security standards and frameworks.
Lead Cash App's Personalization ML organization, overseeing all personalization ML modeling and engineering work for Cash App & Afterpay. Partner closely with product leaders to incorporate machine learning and AI into new features and enhance existing products. Grow, lead, and mentor a team of machine learning modelers, scientists, and engineers. Contribute to strategic plans and shape the company's ML and AI strategy.
The Data Operations Manager at Canoe Intelligence will focus on driving subject matter expertise to the execution of new products, managing service delivery, and leading improvements in data quality and analysis. Responsibilities include owning quality, advocating for standards, deriving insights, and driving continuous improvement. The role requires 5+ years of experience working with private market data and strong project management skills.
As a Professional Services Solution Architect at Zone & Co, you will work closely with clients to ensure project success and adoption of business intelligence solutions. Responsibilities include leading consulting projects, developing reports and dashboards, training clients on Power BI, and managing a team of developers. You will also provide exceptional client service and drive business decisions through data analysis.
As a Senior Data Engineer at Two Barrels, you will work closely with our Software and Analyst teams to manage everything that has to do with data. This role will help get large datasets into the hands of people that need it while also making sure it doesn't adversely impact other things we have going on in our software ecosystem. There will be a heavy focus on infrastructure, data pipelines and scalable database design.
As a Senior Data Engineer at Two Barrels, you will work closely with our Software and Analyst teams to manage everything that has to do with data. This role will help get large datasets into the hands of people that need it while also making sure it doesn't adversely impact other things we have going on in our software ecosystem. There will be a heavy focus on infrastructure, data pipelines and scalable database design.
As a Senior or Lead Big Data DevOps Engineer, you will be working with a team responsible for setting up, scaling, and maintaining Big Data infrastructure and tools in private and public cloud environments.
Top Companies in Fayetteville-Springdale-Rogers Hiring Data + Analytics Roles
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