Data Engineer, Vice President

About this role

The ALADDIN ITE-QAE team is a globally distributed engineering organization building scalable technology for financial analytics. We design and evolve data and analytics platforms that enable our quantitative models to be delivered in a robust, consistent, and performant manner.

We own the end-to-end stack supporting analytics across pricing, risk, attribution, optimization, scenarios, and portfolio analytics—spanning data pipelines, analytics infrastructure, and calculation engines —integrated into the broader Aladdin ecosystem for internal users and external clients.

We partner closely with Research and Modeling teams, with a primary mandate on engineering, data quality, scalability, and production readiness.

Job Purpose / Background

We are seeking a self-motivated Data Engineer to build and enhance our Scalable Data Platform, delivering curated historical datasets at security, index constituent, and portfolio levels to support analytics and client use cases across Aladdin.

Data includes indicative attributes, prices, analytics, exposures, index-related and derived fields; datasets are quality-controlled and integrate seamlessly with client custom data. You will design production-grade systems, translating requirements into scalable, maintainable platform solutions and drive AI adoption by leveraging AI-assisted tools for coding, testing, and documentation—while adhering to data privacy, security, and governance standards.

Key Role Responsibilities

· Design and own scalable data infrastructure/models optimized for Snowflake

· Build and maintain robust ETL pipelines to ingest, transform, and curate large datasets

· Partner with SMEs/modelers to translate requirements into optimal data designs

· Implement data quality, validation, and monitoring frameworks

· Optimize workloads for performance, scalability, and cost

· Adopt AI-assisted engineering tools to improve delivery speed and quality, with appropriate controls

· Standardize deployments and ensure production readiness and SLA adherence

Skillset

· Strong hands-on Python, 7+ years professional experience

· Experience with ETL, data curation, and analytical workloads on distributed frameworks

· Built ingestion pipelines for large-scale datasets using industry-standard tooling

· Solid understanding of database internals and data modeling

· AI tools adoption: experience using AI assistants (e.g., coding copilots) for development, troubleshooting, and documentation, with strong awareness of data privacy, IP, and responsible use

· Cloud (AWS/Azure/GCP) and DevOps exposure a plus

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents 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, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.