1,000+ matching jobs for “Data Engineer 4”

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BlackRock

Data Engineer, Vice President

London, Greater London

Full time
Regular

Company Intelligence is Preqin's private company data platform, providing structured, auditable company-level data and analytics across the private markets …

Added Oct 27, 2026

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Visa

… operate complex distributed systems at massive scale, solving challenges across payment flows, real-time data processing, cybersecurity, and next-generation digital platforms. Within this, Value Added Services (VAS) – …

Added Oct 27, 2026

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Travelers

Data Engineer II, GenAI

Hartford, Connecticut, United States +2 locations

Hybrid
Full time
Regular

Pay posted by employer$129,600–$213,800

… awards. Salary Range $129,600.00 - $213,800.00 Target Openings 1 What Is the Opportunity? Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire …

Added Oct 27, 2026

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Booz Allen Hamilton

AWS Streaming Data Engineer

Springfield, Virginia, United States +3 locations

Pay posted by employer$77,600–$176,000

AWS Streaming Data Engineer The Opportunity: As an AWS Streaming Data Engineer, you can resolve a problem with a complete …

Added Oct 27, 2026

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State Street

Security Data Solutions Engineer

Quincy, Massachusetts, United States +5 locations

Full time

Pay posted by employer$120,000–$202,500

Who we are looking for State Street's Cyber Data & Analytics (CyberDNA) team is seeking a Security Data Solutions Engineer to shape the next generation of …

Added Oct 27, 2026

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Capital One Financial

Full-Stack Engineer 4 (Python, React, AWS)

Cambridge, Massachusetts, United States +3 locations

… field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience in software engineering (Internship experience does not apply) At least 2 years of …

Added Oct 27, 2026

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Allstate

Senior Data Security Engineer

US - Remote

Full time
Regular

Pay posted by employer$90,700–$190,000 per year

… Lead Consultant, and Expert level depending on qualifications & interview evaluation.** The Senior Data Protection Security Engineer will lead the evolution of enterprise data protection from a traditional tool …

Added Oct 27, 2026

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Coca-Cola

Senior Data Engineer - Streaming

Atlanta, Georgia, United States

Summary: We are seeking a highly specialized engineer in Real-time Streaming to evolve Coca- Cola’s enterprise data estate from batch-reliant processing to a …

Added Oct 27, 2026

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Capital One Financial

Front-End Engineer 4 (JavaScript, TypeScript, Angular)

McLean, Virginia, United States +1 location

… field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of professional software engineering experience (internship experience does not apply) At least 3 …

Added Oct 27, 2026

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Verizon

Principal Engineer - Data Science

Basking Ridge, New Jersey, United States +2 locations

Hybrid
Full time
Regular
Lead / principal

Pay posted by employer$120,500–$231,000 per year

… Independently query, clean, merge, and manipulate massive structured and unstructured datasets across big data systems using SQL and Python. Advanced ML & Predictive Modeling: Design, build, validate, and deploy …

Added Oct 22, 2026

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Capital One Financial

AI Engineer 4 (Gen AI Platform Services)

San Francisco, California, United States +4 locations

… pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, …

Added Oct 27, 2026

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Capital One Financial

Full-Stack Engineer 4 (Nodejs, Angularjs, Java)

McLean, Virginia, United States +2 locations

Added Oct 27, 2026

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Capital One Financial

AI Engineer 4 (AI Foundations, VLM Customization)

San Jose, California, United States +3 locations

Added Oct 27, 2026

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Capital One Financial

AI Engineer 4 (LLM Gateway, FM Hosting)

San Jose, California, United States +3 locations

Added Oct 27, 2026

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Capital One Financial

AI Engineer 4 (Gen AI Platform Services)

New York City, New York, United States +3 locations

Added Oct 27, 2026

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Citigroup

PySpark Big Data Engineer

Pune Maharashtra India

Added Nov 3, 2026

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BlackRock

Data Engineer – AWS Native Data Platforms, Vice President

Singapore, Singapore

Full time
Regular

About the Role We are looking for a Data Engineer to join BlackRock’s Information Security organization, supporting the design, build, and operation …

Added Oct 27, 2026

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Capital One Financial

Mobile Engineer 4 (Android, Kotlin, JetPack Compose)

McLean, Virginia, United States

Added Oct 27, 2026

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KLA

Material Handler 4

Singapore, Singapore

… Timely processing of RTV and scrap transactions. Minimum Qualifications Requires a minimum of 2 - 4 years of related experience About KLA We provide advanced inspection tools, metrology systems, process …

Added Nov 4, 2026

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Capital One Financial

Cloud Engineer 4 (Cloud Operations Resilience Engineering)

Richmond, Virginia, United States +1 location

… upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Cloud Engineer 4 Richmond, VA: $179,400 - $204,700 for Cloud Engineer 4 Candidates hired to work in other locations will …

Added Oct 27, 2026

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BlackRock

Data Engineer, Vice President

London, Greater London

Full time
Regular

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Your experience · employer excerpt

Demonstrated experience designing, building, and operating enterprise-scale data platforms, applying sound architectural judgement across scalability, governance, cost efficiency, reliability, and long-term sustainability.
Advanced expertise in SQL, analytical data modelling, and modern analytics engineering practices, including transformation frameworks, testing, documentation, and embedded data quality controls.
Strong proficiency in Python and data pipeline engineering, including orchestration, automation, dependency management, observability, and operational resilience in production environments.
Experience designing and operating cloud-native data platforms and enterprise data warehouses, supported by modern platform engineering practices such as infrastructure as code and container orchestration.
Experience leading, mentoring, and developing data engineers while maintaining strong hands-on technical credibility.

2 more in the full description below.

About this opportunity

Original employer description

About this role

Company Intelligence is Preqin's private company data platform, providing structured, auditable company-level data and analytics across the private markets investment lifecycle. The platform integrates company, deal, and ownership data with fund, manager, and performance information to deliver a connected view of private capital activity. Built on granular data and rigorous methodologies, Company Intelligence enables scalable analysis across deal sourcing, due diligence, valuation benchmarking, and comparative research.

You will join BlackRock's Private Markets Data Engineering organization, working on a strategically important platform at the center of Preqin's private markets data strategy. The team is responsible for expanding and enhancing Preqin's global private company coverage while building scalable data products and analytics capabilities that increase transparency across private markets.

Your role and impact

As a Vice President within the Company Intelligence Data Engineering team, you will design, build, and operate scalable, production-grade data platforms and pipelines that underpin the growth of Preqin's private company universe. You will serve as a player-coach, combining deep technical expertise with people leadership to deliver high-impact data solutions that support investment research, analytics, and decision-making across the private markets ecosystem.

You will provide technical leadership across complex engineering initiatives, partner closely with product, analytics, and business stakeholders, and help establish engineering standards that promote reliability, scalability, governance, and operational excellence. Your work will directly contribute to expanding data coverage, improving data quality, and enabling advanced analytics across the Preqin platform.

Your responsibilities

In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:

Provide senior technical leadership and architectural direction for data platforms and pipelines that support the scalable expansion of Preqin's private company universe while ensuring performance, cost efficiency, and maintainability.
Own the end-to-end delivery of complex, business-critical data engineering initiatives, from solution design through production operation, with accountability for reliability, quality, and business outcomes.
Drive a platform-centric engineering strategy by developing reusable frameworks, shared datasets, and extensible data products that support multiple Company Intelligence use cases.
Establish and maintain high standards for data quality, governance, lineage, observability, and operational risk management across enterprise-grade data assets.
Partner with product, analytics, and business stakeholders to translate strategic objectives into scalable data solutions that deliver measurable business value.
Lead, coach, and develop a team of data engineers while maintaining hands-on technical contribution and fostering a collaborative, high-performing engineering culture.

Your experience

Demonstrated experience designing, building, and operating enterprise-scale data platforms, applying sound architectural judgement across scalability, governance, cost efficiency, reliability, and long-term sustainability.
Advanced expertise in SQL, analytical data modelling, and modern analytics engineering practices, including transformation frameworks, testing, documentation, and embedded data quality controls.
Strong proficiency in Python and data pipeline engineering, including orchestration, automation, dependency management, observability, and operational resilience in production environments.
Experience designing and operating cloud-native data platforms and enterprise data warehouses, supported by modern platform engineering practices such as infrastructure as code and container orchestration.
Experience leading, mentoring, and developing data engineers while maintaining strong hands-on technical credibility.
Experience working with private markets or alternative investment data, supporting investment, research, or portfolio analytics at scale.
Exposure to advanced analytics and artificial intelligence-enabled capabilities, including automation, model-driven data products, and intelligent workflow solutions.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

Guidance on AI use for candidates

At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

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Keywords also found in description

Engineering
Full time
Regular

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