Job Description

Salary: $162,000 - 215,000 per year Requirements:

• We require a BA/BS in Computer Science or equivalent practical experience.
• We look for 6+ years of post-university experience in data engineering, integration engineering, or backend/full stack engineering, ideally in financial services or trading.
• We need a strong grasp of programming fundamentals, including algorithms, data structures, design patterns, and programming paradigms.
• We require proficiency in one or more modern object-oriented languages such as Java or Python.
• We need solid experience with SQL and relational databases.
• We look for experience designing and consuming APIs using modern approaches such as RESTful services; familiarity with GraphQL or gRPC is a plus.
• We need the ability to troubleshoot and resolve issues in production systems and provide real-time support for critical incidents.
• We require strong written and verbal communication skills to work effectively across engineering and business teams.
• We need the ability to thrive in a fast-paced, interdisciplinary environment.
• Additional preferred experience includes working in a cloud environment.
• Additional preferred experience includes messaging and event-driven technologies such as AWS SQS.
• Additional preferred experience includes containerization and orchestration technologies.
• Additional preferred knowledge includes secure distributed systems concepts such as OAuth2/OpenID Connect, secrets management, caching, and observability.
• Exposure to front-end technologies such as React or Angular, or to statistical and financial analysis, is a plus.

• We design, develop, and own end-to-end features across data pipelines, APIs, and microservices, from ingestion and transformation through consumption.
• We build and enhance integration services that exchange data with internal platforms and external systems.
• We develop and evolve components of a microservices ecosystem supporting equity portfolio construction and direct indexing workflows.
• We design relational database schemas, write efficient SQL, and help ensure data quality, completeness, and timeliness.
• We support building, releasing, and operating services in a cloud-native environment, including deployment to Kubernetes-based platforms.
• We troubleshoot issues in live production environments and provide real-time support for critical incidents.
• We continuously improve the platform by modernizing existing components, adopting contemporary technologies, and using enterprise-grade third-party services.
• We write clear, maintainable, well-tested code that other engineers can understand and extend.
• We collaborate closely with engineers, product partners, and business stakeholders in a fast-moving, cross-functional environment.

• AI
• AWS
• Angular
• Backend
• Cloud
• GraphQL
• Support
• Java
• Kubernetes
• OpenID
• Python
• React
• SQL
• gRPC
• microservices

More:

We are collaborating with BlackRock to connect exceptional professionals with this role. At BlackRock SMA Solutions, our strategies are built to center clients interests, reduce costs and taxes, and reflect each clients values-aligned preferences. We offer a full suite of tools, from direct indexing to active equity and fixed income strategies, and we are a fast-growing business with systems that need to scale alongside it. We value diverse perspectives, curiosity, drive, and technical growth, and we are seeking engineers interested in orchestration, data modeling, pipelines, APIs, storage, distribution, distributed computation, consumption, and infrastructure. This role sits on the team that owns and operates the data and integration platform supporting the SMA business, with work spanning portfolio construction, reporting, and downstream client and business workflows. We offer a broad benefits package that includes a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off. For San Francisco, CA and Sausalito, CA, the posted salary range is USD $162,000 to $215,000, along with eligibility for an annual discretionary bonus and additional benefits. We use a hybrid work model with at least four days in the office per week and one day working from home, supporting collaboration, apprenticeship, learning, and onboarding. BlackRock is committed to an inclusive workplace, pay-for-performance compensation, and equal opportunity employment, and we encourage candidates to use AI thoughtfully during the hiring process while showing their own judgment and experience.

last updated 40 week of 2026

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