Top Data Engineer Jobs in NYC
Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead cross-team projects, ensure high code quality, collaborate with various teams, and work on machine learning applications. Mentor and support other engineers in the team.
The Senior Machine Learning Engineer (Modeling) - Underwriting and Credit at Cash App will build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, optimize automated decisioning pipelines, experiment with modeling techniques, and partner cross-functionally with teams.
As a Senior Machine Learning Engineer in the Underwriting & Credit organization at Cash App, you will be responsible for designing, building, and managing distributed services and pipelines. You will lead impactful projects, ensure high code quality, collaborate with various teams, and contribute to the growth of development capabilities through mentoring.
Looking for a Machine Learning Engineer with expertise in Python, Machine Learning, and Cloud Platforms to join the Optimization team at Beeswax, a part of FreeWheel. Responsibilities include working on computational challenges in user response prediction, bidding optimization, forecasting, and more. The role involves contributing to software engineering and machine learning projects, developing data pipelines, training and deploying machine learning models, and collaborating with teams to provide technical solutions.
Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead cross-team projects, maintain high code quality, collaborate with various teams, and contribute to the growth of development capabilities. Requires 8+ years of backend software development experience.
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Seeking a Principal Machine Learning Engineer at Atlassian to drive the development and implementation of cutting-edge machine learning algorithms, collaborate with teams to integrate AI functionalities into products, and provide guidance to emerging ML engineers. Must have a Master's or PhD in a quantitative subject.
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Lead and manage Oracle Master Data Management initiatives across various sectors. Implement data quality rules and maintain ID translations between source and consuming applications. Drive MDM Implementations for Finance, Supply chain, Marketing, and Operations. Utilize agile methodologies for project execution.
As a Senior Associate in Cybersecurity, Privacy, and Forensics at PwC, you will be part of a team driving strategic programs, data analytics, innovation, deals, cyber resilience, and technical implementation activities. Responsibilities include implementing data protection programs, assessing data protection capabilities, and safeguarding critical assets through data security strategies.
Design, implement, and scale critical machine learning components and services, build a next-generation training framework, optimize model performance, automate machine learning model lifecycle, collaborate across teams, and provide technical direction.
Manager role in leading efforts to scale existing data offerings, establish technical strategy for Data Platform, optimize technical ecosystem, and collaborate with engineers and leaders. Requires deep technical knowledge in infrastructure, data, and cloud, with skills in AI/ML, analytics, and troubleshooting.
The VP of Machine Learning Engineering at Rokt will lead the research, experimentation, and implementation of new ML models critical for the company. They will shape and lead exceptional teams, develop and deploy ML models for various applications, collaborate with cross-functional teams, provide technical leadership, and stay current with the latest ML research.
Assist stakeholders in defining requirements for data capture, perform data analysis, create complex mappings, transform logical data model to physical data model, optimize Teradata views and SQLs, develop ETL processes and solutions, diagnose data management issues.
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