1,000+ matching jobs for “Data Scientist”

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Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.

Visa

Sr. Data Engineer

Singapore, Singapore

Job Summary The Senior Data Engineer will design, develop, and operate scalable data and software platforms that enable intelligent …

Added Oct 27, 2026

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Lennar

Lead Data Engineer

Irving, Texas, United States +1 location

on the Team Design, build, and operationalize data engineering solutions for Lennar’s data and analytics platforms and products. Architect and implement ETL, …

Added Oct 27, 2026

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Vertex Pharmaceuticals

Executive Director, Data & Methods (Data and Computational Sciences)

Boston, Massachusetts, United States

Full time
Regular

Pay posted by employer$270,600–$406,000

The Executive Director, Data & Methods will lead a top-tier, multidisciplinary team of scientists and engineers to deliver foundational …

Added Oct 18, 2026

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Regeneron Pharmaceuticals

Senior Scientist, Obesity, Muscle & Metabolism

TARRYTOWN

Full time
Regular

Pay posted by employer$109,900–$179,300

… and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Sr. Scientist to join our Obesity, Metabolism and Muscle Diseases Group, supporting the identification and validation of …

Added Oct 16, 2026

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Regeneron Pharmaceuticals

Senior Scientist - Protein Expression Sciences

TARRYTOWN

Full time
Regular

Pay posted by employer$109,900–$179,300

… develop life-changing medicines for people with serious diseases. We are seeking a highly motivated Senior Scientist to join our Protein Expression Sciences Department. In this role, you will create antibody production cell …

Added Oct 16, 2026

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Booz Allen Hamilton

Data Systems Engineer

Washington, District of Columbia, United States

Pay posted by employer$86,800–$198,000

Data Systems Engineer The Opportunity: Are you looking for an opportunity to combine systems thinking, …

Added Oct 27, 2026

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Capital One Financial

Data Engineer 4

McLean, Virginia, United States +3 locations

… technical solutions in full-stack development tools and technologies Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse …

Added Oct 27, 2026

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Biogen

Senior Clinical Scientist, Clinical Development

Cambridge, Massachusetts, United States

Hybrid
Full time
Regular

Pay posted by employer$141,000–$188,250

As a Senior Clinical Scientist, you will be an integral member of the clinical development team, significantly contributing to the …

Added Oct 30, 2026

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Regeneron Pharmaceuticals

Scientist, Cardiac Vascular - In Vivo

TARRYTOWN

Full time
Regular

Pay posted by employer$93,900–$153,300

… conduct precision dosing and physiological monitoring, and generate high-quality functional and molecular data to support target validation and therapeutic development. This position offers the opportunity to …

Added Oct 16, 2026

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Capital One Financial

Data Engineer 5

Chicago, Illinois, United States

Added Oct 27, 2026

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Capital One Financial

Data Engineer 4

McLean, Virginia, United States +1 location

Added Oct 27, 2026

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Capital One Financial

Data Engineer 4

New York City, New York, United States +1 location

Added Oct 27, 2026

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Capital One Financial

Data Engineer 4

Wilmington, Delaware, United States +1 location

Added Oct 27, 2026

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Capital One Financial

Data Engineer 4

McLean, Virginia, United States +1 location 2 postings

Added Oct 27, 2026

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Capital One Financial

Data Engineer 5

Wilmington, Delaware, United States

Added Oct 27, 2026

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Lead Data Engineer

Remote - Minnesota

Pay posted by employer$188,251–$230,084

Lead Data Engineer Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career …

Added Nov 5, 2026

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Capital One Financial

Data Engineer 4

Chicago, Illinois, United States

Added Oct 27, 2026

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Capital One Financial

Data Engineer 4

Wilmington, Delaware, United States

Added Oct 27, 2026

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Johnson & Johnson

Associate Scientist I, Discovery-Oncology

Beerse, Belgium

… to life while championing patients every step of the way. We are searching for the best talent for a Senior Scientist, in Oncology Discovery, Innovative Medicine, located in Beerse, Belgium Join our Oncology In Vivo team and …

Added Oct 18, 2026

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Mastercard

Director, Data Science

Vancouver, British Columbia, Canada +1 location

Pay posted by employer$154,000–$247,000 CAD

… that help people, businesses and governments realize their greatest potential. Title and Summary Director, Data Science Overview The Security Solutions Data Science team is responsible for delivering Artificial …

Added Oct 27, 2026

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Visa

Sr. Data Engineer

Singapore, Singapore

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Qualifications · employer excerpt

2+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience.
Strong programming skills in Java, Python, or similar languages.
Experience building scalable data platforms, APIs, microservices, and cloud-native applications.
Experience with distributed systems, event-driven architectures, and streaming technologies such as Kafka.
Experience with CI/CD, automated testing, observability, and production support.

1 more in the full description below.

About this opportunity

Original employer description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

Job Summary
The Senior Data Engineer will design, develop, and operate scalable data and software platforms that enable intelligent digital experiences and AI-powered solutions. The successful candidate will collaborate with product managers, architects, software engineers, data scientists, cybersecurity partners, and business stakeholders to identify requirements and deliver secure, reliable, and production-ready capabilities.

The role requires strong data and software engineering fundamentals, combined with practical experience applying Generative AI and agentic technologies to enterprise use cases. The Senior Data Engineer will create and document technical designs, evaluate architectures and technology choices, build reusable services and data components, and contribute throughout the development and operational lifecycle.

The role also requires modern AI engineering fluency. Candidates should be comfortable using AI-assisted development environments, coding agents, enterprise copilots, and intelligent engineering tools throughout the software development lifecycle. This may include tools and capabilities such as Claude Code, Codex, GitHub Copilot, Copilot Studio Agents, AI-assisted IDE workflows, autonomous coding agents, and enterprise AI platforms.

Key Responsibilities:

Data Engineering & Platform Development:

Design, develop, and maintain scalable data platforms, pipelines, APIs, integrations, and backend services supporting Digital Marketing & Engagement solutions.
Build and operate secure, resilient, and observable systems supporting real-time, streaming, and batch processing workloads.
Develop reusable frameworks, services, and technical accelerators that improve platform capabilities, engineering efficiency, and scalability.
Collaborate with product, engineering, architecture, and business stakeholders to deliver high-quality technical solutions.

Generative AI & Agentic Solutions:

Build and integrate GenAI-powered applications, AI agents, and intelligent workflows that drive automation, personalization, insight generation, and productivity improvements.
Implement agentic architectures utilizing retrieval, tool calling, workflow orchestration, memory, and human-in-the-loop patterns.
Develop integrations with enterprise systems, APIs, data sources, and AI platforms using modern protocols and interoperability standards such as MCP.
Evaluate and continuously improve AI solution quality, reliability, safety, and effectiveness through testing, monitoring, and feedback mechanisms.

Responsible AI, Governance & Optimization:

Design and implement guardrails, governance controls, and security mechanisms for AI-powered applications and agents.
Establish controls to mitigate risks such as prompt injection, unauthorized data access, unsafe tool usage, hallucinations, and policy violations.
Optimize token usage, model selection, latency, throughput, and operational costs while maintaining solution quality and user experience.
Implement monitoring, observability, telemetry, and evaluation frameworks to support enterprise-grade AI operations.

AI-Assisted Engineering & Innovation:

Leverage AI-assisted development tools, coding agents, and intelligent engineering platforms throughout the software development lifecycle.
Validate AI-generated artifacts to ensure correctness, maintainability, security, compliance, and production readiness.
Drive adoption of modern engineering practices utilizing autonomous coding, automated testing, AI-assisted troubleshooting, and intelligent software delivery workflows.
Stay current with emerging technologies, frameworks, and industry trends in data engineering, Generative AI, and agentic systems.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

Core Engineering:

2+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience.
Strong programming skills in Java, Python, or similar languages.
Experience building scalable data platforms, APIs, microservices, and cloud-native applications.
Experience with distributed systems, event-driven architectures, and streaming technologies such as Kafka.
Experience with CI/CD, automated testing, observability, and production support.
Strong understanding of data engineering, integration, governance, and platform architecture.

AI Engineering:

Experience building or integrating Generative AI and LLM-powered applications.
Experience with Retrieval-Augmented Generation (RAG), vector search, embeddings, semantic retrieval, and context management.
Understanding of agentic AI concepts, tool calling, workflow orchestration, and AI application design patterns.
Experience implementing AI guardrails, governance, security controls, and responsible AI practices.
Experience evaluating and optimizing AI solution quality, latency, token consumption, and cost.

AI-Assisted Development:

Experience using AI-assisted development platforms and coding agents such as GitHub Copilot, Copilot Agents, Claude Code, Cursor, Windsurf, or equivalent tools.
Experience applying AI-assisted workflows for design, development, testing, debugging, code review, and documentation.
Strong analytical, problem-solving, and collaboration skills.

Preferred Qualifications:

3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
Experience with LangChain, LangGraph, Semantic Kernel, Spring AI, CrewAI, AutoGen, or equivalent AI frameworks.
Experience with Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, and agent interoperability standards.
Experience with AgentOps, LLMOps, or AI platform engineering practices.
Experience with vector databases, knowledge graphs, enterprise search, and context engineering.
Experience with model evaluation frameworks, benchmarking, and AI observability.
Experience building AI and data solutions on Azure, AWS, or Google Cloud.
Experience in Digital Marketing, Customer Engagement, Personalization, or MarTech platforms.
Experience mentoring engineers and influencing technical direction across teams.

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Why this result? · Employer labels

Keywords also found in description

Data Engineering
Engineering & Technology

Location reference: GeoNames (CC BY 4.0), normalized by Referizz.