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Python Developer Data Platform

New York,NY

980 Python Developer Data Platform jobs in New York,NY

New, Posted 1 day ago
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Software Development Engineer, AWS Contract Onboarding

Amazon Development Center U.S.

New York, NY 10261

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of non-internship professional software development experience
  • Experience programming with at least one modern language such as Java, C++,
  • Or C# including object-oriented design
  • Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
  • Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
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New, Posted 6 hours ago
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Recruiting Systems & Data Integration Engineer

engin sciences

New York, NY 10025

RemoteUrgently HiringHealth Insurance

  • Professional experience building ATS, HR technology, or recruiting-system integrations.
  • Familiarity with one or more ATS platforms such as Bullhorn, Avionte, JobDiva, Greenhouse, Lever, Workday, iCIMS, or SmartRecruiters.
  • Experience integrating third-party systems through REST APIs, webhooks, OAuth, scheduled jobs, file transfers, or data exports.
  • Strong Node.js, TypeScript and PostgreSQL skills.
  • Experience modeling and synchronizing interconnected records such as jobs, candidates, applications, submissions, and placements.
  • Experience designing data synchronization systems where correctness, idempotency, throughput, and recovery from partial failures matter.
  • Experience processing large volumes of operational data through batching, pagination, incremental synchronization, and backfills.
  • Ability to investigate unfamiliar systems, understand inconsistent data models, and turn ambiguous requirements into reliable solutions.
  • Strong debugging skills across authentication, data mapping, API behavior, synchronization state, and data quality.
  • A practical approach to engineering reliable systems without unnecessary complexity.
  • Comfort owning customer integration problems from initial discovery through deployment and ongoing support.
  • Experience incorporating coding agents into day-to-day software engineering work.
  • Experience leading technical conversations with both technical and nontechnical customer stakeholders, translating customer problems and workflows into clear integration requirements and practical solutions.
  • Experience handling sensitive customer and candidate data using appropriate security, privacy, access-control, and data-retention practices.
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New, Posted 18 hours ago
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PolyPath Market Risk Technology Specialist (Java/Python)

Santander Holdings USA

New York, NY 10022

Onsite

  • Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
  • Expert-level knowledge of PolyPath.
  • Strong experience in market risk, preferably within banking or capital markets.
  • Strong programming skills in Python and Java.
  • Solid understanding of fixed income products, pricing, valuation, and risk analytics.
  • Experience supporting risk models, valuation tools, pricing engines, or market risk platforms.
  • Ability to troubleshoot complex system, data, and pricing issues across multiple technology platforms.
  • Strong analytical skills with the ability to explain technical and market risk concepts clearly to both business and technology teams.
  • Experience working in a large banking, financial services, or regulated financial institution environment.
  • 10+ years of experience in banking, capital markets, financial technology, or market risk technology preferred.
  • Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment.
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AXIS Modeling Actuary

MassMutual

New York, NY 10012

OnsiteUrgently Hiring

  • Bachelor's degree in actuarial science, mathematics, statistics, data science, computer science, engineering, or a related quantitative or technical field.
  • ASA designation
  • 4+ years of actuarial experience within insurance, financial services, or a related quantitative field.
  • 1+ years of experience with Axis
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Software Development Engineer, AWS Contract Onboarding

Amazon Development Center U.S.

New York, NY 10261

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of non-internship professional software development experience
  • Experience programming with at least one modern language such as Java, C++,
  • Or C# including object-oriented design
  • Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
  • Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
SmartExplore AI is experimental.
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New, Posted 18 hours ago
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PolyPath Market Risk Technology Specialist (Java/Python)

Santander Holdings USA

New York, NY 10281

Onsite

  • Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
  • Expert-level knowledge of PolyPath
  • Strong experience in market risk, preferably within banking or capital markets
  • Strong programming skills in Python and Java
  • Solid understanding of fixed income products, pricing, valuation, and risk analytics
  • Experience supporting risk models, valuation tools, pricing engines, or market risk platforms
  • Ability to troubleshoot complex system, data, and pricing issues across multiple technology platforms
  • Strong analytical skills with the ability to explain technical and market risk concepts clearly to both business and technology teams
  • Experience working in a large banking, financial services, or regulated financial institution environment
  • 10+ years of experience in banking, capital markets, financial technology, or market risk technology preferred
  • Work authorization: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment
SmartExplore AI is experimental.
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Director, Data and Analytics - Deal Advisory and Strategy

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

  • Minimum ten years of recent experience in design, development and delivery of data driven solutions; including at least five years as manager of managers in data & analytics delivery
  • Bachelors degree in Information Systems/Technology, Computer Science, any of the Engineering disciplines or a related field from an accredited college/university
  • Master’s or PhD from an accredited college/university preferred
  • Minimum three years of Microsoft Azure Data Platform hands on experience as an architect on Azure Data Lake, Azure Synapse, Azure Data Factory, Power BI, Azure ML with proven consulting and delivery leadership in Data Ingestion, Data Transformation, Data Modeling, Data Security, Data Governance, Data Visualization, Data Science
  • Experience in Agile project management including planning, organizing, coordinating and managing staff, clients and/or partners towards the successful completion of a project
  • Proven track record of managing customer-centric data driven solutions using Cloud native technologies (Azure) across a complex portfolio of stakeholders and fostering the development of high-performance teams (both onshore and offshore)
  • Strong communication skills and ability to present complex information concisely through written & verbal communication; experience hosting interviews, brainstorms / workshops with business teams and executives on data-related topics / projects
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New, Posted 1 day ago
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Premium Support Business Development Manager, AWS Enterprise Support

Amazon

New York, NY 10261

Urgently HiringFlexible Schedule
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Director, AI, Data & Google Cloud

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

  • A minimum of 8 years in data analytics, AI/ML, and cloud technology, including leadership roles in consulting or technology organizations.
  • Google Cloud certifications (e.g., Professional Cloud Architect, Machine Learning Engineer) or equivalent are a plus.
  • Bachelor's Degree required with an advanced degree in Computer Science, Data Science, Engineering, or related field preferred.
  • Deep knowledge and hands-on experience with Google Cloud's AI ecosystem (including Agent Builder, Contact Center AI, and Dialogflow) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations.
  • Proficient in architecting and implementing AI-powered workflow solutions using Google Cloud services (e.g., Vertex AI, Dialogflow CX), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation.
  • Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency. Experienced in conversational AI integration.
  • Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models.
  • Travel as needed
  • Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
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New, Posted 17 hours ago
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Head of Product Management – Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

  • Bachelor's Degree in Business, Computer Science, Engineering, Economics, or a related field
  • 10+ years Product management leadership experience for data, intelligence, SaaS, or platform products
  • 5+ years Hands-on product leadership, including directly owning products and building or leading a small, senior team
  • Deep expertise in product management for data, intelligence, or platform products built on AI/ML systems, with the ability to turn embeddings, features, and scores into successful commercial offerings
  • Proven success owning the full product lifecycle for technical and business-facing products, including APIs, feeds, SDKs, dashboards, and insights tools
  • Experience building and packaging data products across APIs, feeds, clean rooms, zero-copy platforms, and audience/activation products, with strong commercial and developer-experience instincts
  • Strong product strategy and commercial acumen, including pricing, packaging, tiering, business cases, and prioritizing investments across markets and revenue streams
  • Deep market fluency in adtech, martech, data, measurement, identity, clean rooms, DSPs/SSPs, and retail media, with the ability to translate market feedback into product decisions
  • Skilled at communicating complex AI/ML and data concepts to executives and partners, with a strong grasp of privacy-preserving data products, governance, and regulatory considerations
  • Comfortable as a hands-on, player-coach leader in a lean, early-stage environment, with the ability to build teams, navigate ambiguity, and deliver against ambitious goals
  • Strong interest in agentic AI and emerging intelligence-product interfaces, including AI-ready APIs, retrieval-grounded experiences, and multi-agent workflows
  • Ability to serve as a visionary leader, think strategically, and anticipate future needs and trends with respect to relevant technologies
  • Ability to lead large change, complex projects and initiatives, foster teamwork, and build a strong culture of collaboration
  • This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
SmartExplore AI is experimental.
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