Top Data & Analytics Jobs in New York City, NY
This role involves leading a team of Data and Software Engineers responsible for ingesting and processing critical loan data from multiple partners. The manager will mentor and train team members, participate in code reviews, manage large-scale projects, and collaborate with project management to improve engineering processes.
As a Lead Data Engineer, you will design, develop, and implement data pipelines, warehouses, and lakes while ensuring data quality and accuracy. You will lead strategic discussions, document requirements, and develop scalable data solutions. Additionally, you will maintain data infrastructure and stay updated on emerging technologies.
The Data Operations Engineer will design, develop, and maintain data pipelines for seamless integration, collaborating with partners and ensuring data quality and security while troubleshooting issues. This role requires technical expertise in integration technologies and healthcare informatics knowledge.
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The FIU Case Analyst will analyze customer transactions for suspicious activity, maintain detailed case files, complete necessary regulatory forms, and communicate with internal and external parties while ensuring high-quality service and confidentiality.
The Forest Carbon Analyst will oversee carbon project development, conduct assessments, prepare documentation, perform statistical analyses, and manage data related to forest carbon projects. They will conduct fieldwork, manage stakeholder communications, and maintain project methodologies and monitoring activities.
The Senior Data Engineer will develop and maintain data frameworks and systems for analytics, focusing on data acquisition, validation, and loading. Responsibilities include building machine learning pipelines, ensuring data quality, and integrating systems with GCP and BigQuery.
The Digital Asset Markets Analyst will monitor digital asset markets and the Aptos DeFi ecosystem, analyze competitor dynamics, track key strategic partnerships, and report actionable insights to leadership. They will work with various third-party data sources to evaluate market metrics and trends.
The Lead Data Engineer will analyze complex datasets and develop predictive models to drive business decisions. Responsibilities include designing statistical models, recommending technologies, mentoring engineers, and implementing large enterprise data solutions in an Agile environment.
The GCP Data Engineer will design and maintain large-scale data infrastructure, migrate data from Teradata to GCP, develop data pipelines, and optimize data processing for analytics and applications. Responsibilities include collaborating with teams, ensuring data quality, implementing security measures, and documenting processes.
The Principal Data Engineer will design, develop, and maintain ETL pipelines for data acquisition and transformation. Responsibilities include collaborating with teams to understand data needs, utilizing AWS Glue, optimizing ETL processes, and applying data governance practices. The role requires strong technical skills in Python, Spark, and SQL, along with experience in data matching and analytics.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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