Top Remote Data Engineer Jobs in Madison, WI
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 Oracle Master Data Management (MDM) projects, implementing MDM solutions to address finance, supply chain, marketing, and operational requirements. Utilize Oracle Analytics, Data Governance, and Data Management capabilities to drive profitable growth, reduce costs, and improve customer experience. Lead technical and functional teams, ensuring successful execution and delivery.
Lead role in implementing Oracle Master Data Management solutions across multiple sectors and addressing various business requirements.
Design, develop, and implement data solutions to improve oral health. Work with a team of data scientists and product managers to tap into data assets and AI insights. Responsible for data ingestion, optimization, data flow, transformation, data enablement, data literacy, data quality, and cataloging.
Seeking a Senior Support Engineer with 5+ years of PostgreSQL experience for a remote position. Responsibilities include troubleshooting, mentoring, and collaborating with clients and development teams. Requires strong problem-solving skills, communication skills, and a Bachelor's degree in Computer Science.
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Own and drive data integration solutions, foster a culture of sharing and operational efficiency, collaborate with stakeholders to design data models, clean and optimize data for ingestion and consumption, partner with Engineering Managers on technology roadmaps, exhibit personal and team accountability.
Seeking a skilled Data Engineer with experience in AWS Glue, Spark, Python, and Snowflake to design, develop, and optimize ETL processes, ensure data quality and governance, collaborate with teams, and implement best practices. Bachelor's degree in Computer Science or related field required. Company offers competitive benefits and values client-centric solutions, ownership, excellence, and teamwork.
Seeking a Senior Machine Learning Engineer to develop NLP algorithms, train models, preprocess data, resolve entities, collaborate with teams, innovate, review code, and mentor. Requires 5 years of ML experience, proficiency in Python and ML libraries, and a Bachelor's degree in computer science.
Data Operations Manager role at Canoe Intelligence focusing on driving subject matter expertise, executing new products, managing delivery of accurate data, defining product roadmap, and continuous improvement in data operations.
Work as a Senior Machine Learning Engineer at Movable Ink, focusing on advancing the core machine learning solution and infrastructure. Responsible for building scalable models, deploying them to production, and collaborating with cross-functional teams to improve ML platform.
As a Senior Data Engineer, you will play an instrumental role in advancing our core machine learning solution. Your technical expertise and leadership skills will be leveraged to drive the development and deployment of high-quality, scalable data pipelines and products.
Work as a machine learning engineer in the Applied AI and Machine Learning team. Contribute to core recommender systems and machine learning models. Opportunity to work on a large-scale machine-learning system and continuously learn and improve the solution.
Support database migrations, query optimization, index tuning, database tuning, define database architecture, model development, uphold security standards, monitor databases, establish access schemes, and write documentation.
Support for Database Migrations, Query Optimization, Index Tuning, Database Tuning, Defining Database Architecture, Model Development, Working closely with development teams, Upholding Security and Data Classification Standards, Monitoring and Maintenance of databases, Establishing Access Schemes, Writing Documentation
Support database migrations and upgrades, query optimization, index tuning, database tuning, defining database architecture, model development, upholding security standards, monitoring databases, establishing access schemes, and writing documentation.
Develop and implement machine learning models for fraud detection, analyze datasets, collaborate with cross-functional teams, monitor model performance, and stay updated on the latest machine learning and fraud detection techniques.
As a Senior Machine Learning Engineer, you will develop robust, scalable ML systems using Python and TensorFlow. You will work collaboratively with Data Scientists to turn prototype algorithms into customer-facing solutions and provide technical leadership to junior team members. Your role also involves building data pipelines, collaborating with Product Managers, and making intelligent technical decisions to enhance personalization capabilities.
Responsible for all aspects of data platform, data integration, and data analytics at NBC Sports Next. Leading improvements of existing data solutions and development of new solutions to address business requirements. Act as a company-wide consultant to solve problems using data-driven decisions.
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