About this Role:We are expanding the team of engineers that owns and operates the data and integration platform underpinning the SMA business. As a member of this team, you will design, build, and support data-centric and integration-focused services that power portfolio construction, reporting, and downstream client and business workflows.
In this role, you will work across APIs, data pipelines, microservices, and relational data stores, partnering closely with product, analytics, and business stakeholders to ensure data and services are reliable, secure, and delivered at scale. The role combines strong data engineering fundamentals with modern integration and platform engineering practices, with opportunities to contribute across the full lifecycle from design through production support.
Key Responsibilities- Design, develop, and own end-to-end features across data pipelines, APIs, and microservices, from ingestion and transformation through consumption.
- Build and enhance integration services that exchange data with internal platforms and external systems.
- Develop and evolve components of a microservices ecosystem supporting equity portfolio construction and direct indexing workflows.
- Design relational database schemas, write efficient SQL, and ensure data quality, completeness, and timeliness.
- Support building, releasing, and operating services in a cloud-native environment, including deployment to Kubernetes-based platforms.
- Troubleshoot issues in live production environments and provide real-time support for critical incidents.
- Continuously improve the platform through modernization of existing components, adoption of contemporary technologies, and use of enterprise-grade third-party services.
- Write code that is clear, maintainable, well-tested, and easy for other engineers to understand and extend.
- Collaborate effectively with engineers, product partners, and business stakeholders in a fast-paced, interdisciplinary environment.
Requirements- BA/BS in Computer Science or equivalent practical experience.
- 6+ years of post-university professional experience in a data engineering, integration engineering, or backend/full-stack engineering role, preferably in a financial services or trading environment.
- Strong understanding of programming fundamentals, including algorithms, data structures, design patterns, and paradigms.
- Proficiency in one or more modern object-oriented languages (Java/Python).
- Solid experience with SQL and relational databases
- Experience designing and consuming APIs using modern approaches (RESTful services; familiarity with GraphQL or gRPC is a plus).
- Ability to troubleshoot and resolve issues in production systems and provide real-time support for critical issues.
- Strong written and verbal communication skills, with the ability to work effectively across engineering and business teams.
- Ability to work effectively in a fast-paced, interdisciplinary environment.
Desired Additional Qualifications- Experience working in a cloud environment
- Familiarity with messaging and event-driven technologies (AWS SQS, etc.).
- Familiarity with containerization and orchestration technologies
- Understanding of secure distributed systems concepts, including OAuth2 / OpenID Connect, secrets management, caching, and observability (logging, metrics, tracing).
- Exposure to front-end technologies (e.g., React or Angular) or statistical / financial analysis is a plus.
For San Francisco, CA and Sausalito, CA Only the salary range for this position is USD$162,000.00 - USD$215,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
Our benefitsTo 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 modelBlackRock'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 candidatesAt 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.
