About this role

Role Overview

We are looking for an experienced Data Engineer to design, build, and own scalable data platforms that support analytical and modeling workloads. This role focuses on building reliable, high‑quality data infrastructure optimized for Snowflake and cloud environments, while partnering closely with business and technical stakeholders.

Key Responsibilities

Design, build, and own scalable data models and data infrastructure optimized for Snowflake
Develop and maintain reliable ETL/ELT pipelines to ingest, transform, and curate large‑scale datasets
Collaborate with subject matter experts, analysts, and modelers to translate requirements into efficient data designs
Implement data quality checks, validation rules, and monitoring frameworks to ensure data reliability
Optimize data workloads for performance, scalability, and cost efficiency
Use AI‑assisted engineering tools to improve development speed, code quality, and documentation, following appropriate governance and controls
Standardize deployment processes and ensure production readiness, reliability, and SLA adherence
Contribute to best practices for data engineering, security, and operational excellence

Required Skills and Experience

Strong hands‑on experience with Python, with 6+ years of professional development experience
Proven experience building ETL pipelines, data curation frameworks, and analytical workloads on distributed systems
Experience designing and implementing large‑scale data ingestion pipelines using industry‑standard tools
Solid understanding of database internals, performance optimization, and data modeling concepts
Experience using AI‑based development tools (such as coding assistants) for development, troubleshooting, and documentation, with a strong understanding of data privacy, intellectual property, and responsible AI use

Preferred Qualifications

Experience working in cloud environments such as AWS, Azure, or GCP
Exposure to DevOps practices, CI/CD pipelines, and production support models
Experience optimizing workloads for cloud cost and performance

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.

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.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

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.

Data Platform Engineer, Vice President

About the role

Role Overview

Key Responsibilities

Required Skills and Experience

Preferred Qualifications