Associate - Data Engineering

About the role

As an Associate on the Enterprise Data Platform team, you will be part of a team responsible for building and modernizing the core framework of BlackRock’s next-generation enterprise data platform. This platform is designed to automate and standardize data acquisition, ingestion, transformation, orchestration, and distribution at enterprise scale. This is a hands-on engineering role for a strong software developer with experience in Python and backend API development, along with exposure to data platforms and workflow-driven systems. The role sits at the intersection of data platform engineering and backend platform development.

Responsibilities

• Design, develop, and maintain scalable platform services and APIs that support metadata, logging, orchestration, workflow generation, onboarding, and other core enterprise data platform capabilities.
• Build backend components and service interfaces that help evolve the platform toward a more modular, API-driven architecture.
• Contribute to the development and enhancement of shared platform components used across enterprise data workflows.
• Participate across the full software development lifecycle, including requirements analysis, design, development, testing, deployment, and ongoing enhancement.
• Develop backend services using Python-based frameworks such as FastAPI or Flask, and contribute to contract-first API development using gRPC and Protocol Buffers.
• Partner with senior engineers and cross-functional teams to translate business and operational requirements into robust technical solutions.
• Improve performance, scalability, resilience, and observability across platform services and data workflows.
• Contribute to engineering standards, API conventions, code quality, and development best practices.
• Support the integration of AI-enabled capabilities and external AI services into platform workflows where they improve automation, quality, or developer productivity.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 3+ years of experience in software engineering, backend engineering, data engineering, or data platform engineering roles.
• Strong hands-on programming experience in Python.
• Strong SQL skills and experience working with relational or analytical data platforms.
• Experience designing and developing backend services and APIs using REST-based frameworks such as FastAPI or Flask.
• Experience with gRPC and Protocol Buffers, or other contract-first API development patterns.
• Experience designing APIs that interact with orchestration systems, cloud storage, metadata services, or platform-control functions.
• Experience building scalable, maintainable solutions in cloud-native or distributed environments.
• Working experience with containers and Enterprise-grade container orchestration platform supporting declarative infrastructure and horizontal scaling-based deployment environments.
• Experience with at least one major cloud platform; Azure experience is strongly preferred.
• Strong understanding of object-oriented design, software engineering best practices, and production-grade development practices.
• Strong communication and collaboration skills, with the ability to work effectively across engineering and non-engineering partners.
• Ability to operate effectively in a fast-paced environment and take ownership of assigned deliverables.

Qualifications

• Experience with Directed acyclic graph-based workflow orchestration framework for data and batch processing or comparable workflow orchestration technologies.
• Experience with Snowflake and related cloud data warehouse capabilities.
• Experience with dbt or similar transformation frameworks.
• Exposure to enterprise data platforms, ETL/ELT workflows, or reusable data framework components.
• Experience with real-time, event-driven, or message-based platforms and technologies such as distributed event streaming and messaging platforms or streaming ingestion patterns.
• Familiarity with authentication, authorization, and related API security concepts.
• Experience integrating AI/ML or LLM-based services into enterprise platforms, developer workflows, or operational processes.
• Understanding of prompt engineering, model evaluation, or responsible AI practices.
• Exposure to Java or experience working in mixed Python/Java enterprise environments.

Skills

• Python programming skills.
• Backend API development experience.
• Data platform engineering knowledge.
• Workflow orchestration experience.
• Cloud platform experience (Azure preferred).
• Software engineering best practices.
• Collaboration and communication skills.
• Experience with AI/ML services.
• Experience with Java or mixed Python/Java environments.

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.

Pay

The salary range for this position is USD$0.00 - USD$0.00. Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits.

Schedule

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.

Guidance on AI use for candidates

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.

Career path

We recognize that our technologists benefit from a tailored approach to navigating and advancing their careers in the ways they envision. Our tech career paths are specifically built to support vertical and horizontal trajectories – including Enterprise Leadership (team manager) and Tech Leadership (individual contributor) 'tracks' as well as various other career paths.