Top Data Engineer Jobs
AI Data Specialist at Kensho, responsible for planning data labeling projects, extracting and loading data, managing offshore team of data labelers, and analyzing datasets. Requires 2+ years of industry experience and Python proficiency.
As a Data Domain Architect at JPMorgan Chase's Consumer & Community Banking division, responsible for building data pipelines, predictive models, and optimization routines. Conduct transaction data analyses, automate repeatable analysis, collaborate with internal and external stakeholders, and provide thought leadership. Required qualifications include 8+ years of relevant experience, working knowledge of banking, and a Bachelor's degree in Computer Science or related field.
Lead a team of Data Scientists on high-priority data science and analytics projects for senior executives at a leading financial services firm. Use cutting-edge big data technologies and analytical methods to provide actionable insights.
Senior Leader role at JP Morgan Asset Management leading strategic planning and execution for scalable machine learning infrastructure and products. Responsible for leading a global team and partnering with data science group to deliver machine learning applications and data pipelines.
Design and implement data pipelines to support business needs by processing terabytes of data daily. Monitor and optimize data pipelines for performance, reliability, and security. Stay up-to-date on the latest data science and engineering technologies.
Featured Jobs
Develop and deliver complex software requirements using Python, Java, Spring Boot, and other technologies to scale backend systems and handle large datasets. Remote work permitted within commutable distance. Requires a Bachelor's degree in Engineering, Computer Science, or related field and 5 years of experience in related IT occupations.
Lead and manage a team of developers to design and build a scalable/maintainable Enterprise Metadata Platform, implement Data Management solutions on cloud, collaborate with technology and business teams for Data Management & Governance, design and build complex systems using multiple technologies, and utilize various developer tools and platforms for infrastructure management.
Responsible for creating and updating business rules to minimize false-positive sanctions alerts in the Sanctions Screening Center of Excellence. Manages the alert review process to improve efficiency and effectiveness. Works under minimal supervision to contribute technical knowledge and capabilities.
As a software engineer (machine learning), you will design and develop AI/ML features and solutions for Celonis products. You will work closely with other teams to build scalable and high-quality models and infrastructure.
Design and build machine learning models to solve classification, regression, and machine vision problems. Perform hyper-parameter tuning and optimize prediction performance. Implement production-ready pipelines for ML prediction and training.
The Staff Machine Learning Engineer at Snap Inc will create models to drive value for users, advertisers, and the company. They will also evaluate technical tradeoffs, perform code reviews, and build robust and scalable products.
Snap Inc is looking for a Staff Machine Learning Engineer to create models that drive value for users, advertisers, and the company. The engineer will be responsible for evaluating technical tradeoffs, performing code reviews, building robust and scalable products, and iterating quickly.
Create models, evaluate tradeoffs, perform code reviews, build robust products
Design and implement machine learning solutions for Roblox's Personalization team to drive content distribution, user understanding, and content generation. Collaborate with other teams to prioritize community-focused product development. Communicate with industry and communities as a Roblox ambassador.
Seeking a Business Intelligence Engineer to develop storytelling insights through dashboarding, gather business requirements, and work with large datasets. Responsibilities include client support, data preparation, dashboard design, and collaboration with internal teams. Basic qualifications include a Bachelor's degree in a quantitative field, 1-2 years of experience in Python and SQL, proficiency in data visualization tools, and strong communication skills.
Geode Capital Management is seeking a Principal Data Engineer to join their Data team. The role involves providing technical leadership, implementation expertise, and guiding other data engineers. The engineer will work closely with the analytics team, architecture, and data analysts to develop an analytics platform using Snowflake and Tableau. The job is a hybrid work environment with in-office and remote work availability. Responsibilities include building an analytics platform, collaborating with teams to build data integration pipelines and APIs, mentoring junior team members, and collaborating in software and data solutions development.
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