Top Data Engineer Jobs
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 machine learning models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, and build robust and scalable 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.
Featured Jobs
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.
Senior Data Engineer focusing on data UX/visualization, responsible for designing and maintaining data pipelines, creating data models, visualizations, and driving actionable insights. Collaborates with cross-functional teams, ensures data accessibility and quality, improves user experience, and stays updated with industry trends.
As a Senior Data Engineer with a focus on data UX/visualization, design, build, and optimize scalable data pipelines, develop efficient data models and schemas, create compelling data visualizations, collaborate with teams, conduct data analysis, provide technical leadership, and stay updated on trends and technologies.
Design and build robust machine learning model development infrastructure, integrate models with production systems, maintain tools for rapid experimentation, and optimize model performance. Collaborate with stakeholders and drive continuous improvement in machine learning engineering. Requires 8+ years of software platform development experience and proficiency in Python and machine learning libraries.
Attain is seeking an experienced Machine Learning Engineer to enhance the development of a machine learning platform for data scientists and engineers. Responsibilities include driving outstanding execution, defining best practices, managing CI/CD pipeline, and collaborating with cross-functional teams.
Executive Coordinator role at Takeda's Data Sciences Institute, providing high-level administrative and office support to the leadership team. Responsibilities include calendar management, travel arrangements, meeting coordination, data entry, and office organization.
Collaborate with internal and client teams to implement technology solutions, lead project modules, validate technical designs, apply best practices, manage diverse teams, and guide project deliverables.
Collaborate with internal and client teams to implement high-quality technology solutions for business problems. Lead project modules, validate technical designs, and apply development methodologies. Provide mentorship to junior team members, manage diverse teams, and ensure timely project delivery with quality results.
Collaborate with internal and client teams to implement technology solutions addressing business problems, lead project modules, validate technical designs, apply best practices, support project delivery, manage diverse teams, guide project deliverables. Requires Bachelor's or Master's degree in related field, 3+ years of experience, strong understanding of RDBMS, SQL, data warehousing, Big Data technologies, and proficiency in Python or Scala, among other skills.
The Lead Data Scientist at Klaviyo will build foundational models to extract insights from massive data streams, applying cutting edge techniques in deep learning, language modeling, and recommender systems to personalize customer messages. This role requires strong Python coding skills and technical leadership.
Develop code in an agile fashion, build features using data science, test data science algorithms, contribute as a subject matter expert, remote work permitted 2-3 days per week, full-time position.
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