Top Data Engineer Jobs in New York City, NY
The Data (ETL) Architect will lead data management and migration projects focused on Salesforce.com and other cloud tools, develop and maintain data processes, assess risks, and convert client needs into data requirements with deep ETL expertise and strong communication skills.
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The Data Science Manager will lead a team of Data Analysts within the P&L management team at Lyft, focusing on managing the profit and loss for the Rideshare business. Responsibilities include mentoring the team, analyzing business problems using data analytics, collaborating with Data Scientists and Engineers, and presenting insights to senior leadership to influence investment strategies.
As a Data Analytics Specialist, you will conduct economic research and analyses, manage and analyze data, and generate visualizations to communicate findings. You'll collaborate with economists, produce public-facing research products, and be involved in the writing of impactful publications and presentations.
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The Senior Data Developer will design and build a data and reporting ecosystem for the CRO organization. Responsibilities include developing BI dashboards, creating ETL pipelines, enhancing data models, and ensuring data quality. The role requires collaboration with stakeholders to deliver business requirements and support data analytics initiatives.
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As an AI Quantitative Strategist at WorldQuant, you will develop and implement AI/ML models for trading optimization and investment strategies. You will work collaboratively on innovative projects while leveraging state-of-the-art data and systems. The role emphasizes building infrastructure for AI and involves explaining model business value to stakeholders.
The Head of Data & Analytics will own the data stack, drive insights, and partner with product, engineering, and operations teams. Responsibilities include developing analytics capabilities, building dashboards, owning the data science roadmap, and ensuring data-driven decision-making across the organization.
As a Low-Latency Rust Data Engineer, you will develop and maintain high-performance data pipelines, integrate exchange data, and support trading teams with efficient data architecture in a fast-paced trading environment.
The Data Modeler will design, implement, and maintain data models, create reports and dashboards using analytics tools, collaborate with stakeholders, and ensure documentation and best practices are upheld. This role requires extensive experience in data modeling and analytics, particularly with Amazon Redshift, QuickSight, and Power BI, within the financial sector.
The Associate, Data Acquisition will analyze data agreements, liaise with trading teams, negotiate with vendors, assist in exchange reporting, and enhance operational processes for better efficiency.
The Database Administrator will manage and administer databases, focusing on Microsoft SQL, MySQL, and NoSQL. This includes performance tuning, security administration, and support for application teams. The role involves planning database structures, monitoring performance, and ensuring data integrity and security, necessitating strong SQL skills and over 5 years of experience.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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