Top Data Engineer Jobs

Senior Research Engineer (Data) responsible for curating large-scale structured and unstructured data, translating high-level queries, developing data pipelines, and setting up analytical infrastructure. Must have experience driving business outcomes through data engineering and strong coding skills in Python and SQL.

Building a world-class global customer data & analytics organization to centralize, transform, and wrangle data to enable end users to derive insights.

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.

Develop and implement machine learning models for fraud detection, analyze large datasets, collaborate with teams, monitor model performance, and stay updated with latest developments in machine learning and fraud detection.

Design, build, and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead projects, maintain code quality, collaborate with cross-functional teams, and contribute to technical problem-solving at scale.

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.

Build NLP, speech, and generative AI models for creators at scale. Work on large language models, machine translation models, deep learning-based speech models, and reinforcement learning for user interactions.

Principal Machine Learning Engineer at Roblox Large Model team responsible for designing and implementing machine learning algorithms across multimodal data, researching state-of-the-art techniques, processing datasets, leveraging generative modeling techniques, integrating language models, and ensuring responsible AI practices.

Join Chewy's Search & Recommendations team as a Principal Machine Learning Engineer/Data Scientist. Develop models for personalized recommendations and search for pet parents. Work on all stages of model development, from idea to deployment. Partner with cross-functional teams to drive impactful products and improve modeling techniques. Present findings to business customers. Requires advanced degree or 10+ years of experience in Operations Research, Statistics, or Data Science, along with expertise in machine learning methodologies and distributed pipeline development.

Principal Machine Learning Engineer at Chewy Search & Recommendations team, responsible for developing and deploying machine learning models for personalized recommendations and search for pet parents. The role involves collaborating with cross-functional teams and leading science projects from idea to deployment.

As a Data Engineer III at Chewy in Boston, you will be responsible for developing, deploying, and refining data pipelines for ML/DL models at scale using tools like Spark and Kafka. You will work on structuring and delivering data solutions to drive high value actions and enhance customer experience, following agile practices.

Design, build, evaluate, deploy, and iterate on large scale Machine Learning systems at Dropbox. Collaborate with cross-functional teams to personalize user experiences and impact millions of users. Requires BS or MS in Computer Science, 2+ years of experience, strong analytical and problem-solving skills, and proficiency in Python, C, and C++.

As a Senior Engineering Manager, you will lead a team of engineers to build Dropbox's AI offering, Dash. You will drive product monetization and revenue generation while fostering a collaborative culture. Your responsibilities include team development, decision-making based on data insights, and contributing to technical and product strategies. The role requires a strong background in software engineering, distributed systems, and backend infrastructure. Preferred qualifications include a PhD in Computer Science and experience in machine learning.

Shape the future direction of the organization by leveraging the latest advancements in AI/ML. Collaborate with cross-functional teams to build and iterate on large-scale Machine Learning systems. Contribute to the technical strategy for the machine learning lifecycle.

Build and orchestrate model pipelines, scale machine learning algorithms, implement ML Ops, write production-ready code, collaborate with client teams, and stay updated on latest technologies in the AI field.

As a Machine Learning Engineer at ZS, you will build, orchestrate, and monitor model pipelines, scale machine learning algorithms, enhance ML engineering platforms, implement ML Ops, write production-ready code, collaborate with client teams, and stay updated on the latest technologies.

The Machine Learning Engineer at ZS will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, implementing ML Ops, writing production-ready code, and collaborating with client teams and global development team to deliver projects. They will also participate in researching and evaluating latest technologies to create prototype solutions.