Data Integration Engineer (Python) - SMA Engineering

BlackRock • Sausalito, CA

2d • Hybrid

About The Position

About BlackRock SMA Solutions: At BlackRock SMA Solutions, our strategies are designed to put our clients’ and their clients’ interests at the center of our investment advice; to minimize costs and taxes; and to incorporate each client’s unique values-aligned preferences into their investment portfolio. Offering a full suite of tools for our clients, from direct-indexing to active equity and fixed income strategies—with evolution a constant part of our game. As a business, we are fast-growing and our systems need to grow along with it. We are looking for engineers who like to innovate and seek complex problems. We recognize that strength comes from teams with a variety of perspectives, and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. Engineers looking to work in the areas of orchestration, data modeling, data pipelines, APIs, storage, distribution, distributed computation, consumption and infrastructure are ideal candidates. 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.

Requirements

• BA/BS in Computer Science or equivalent practical experience.
• 5+ 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, with Python as a primary language.
• 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.

Nice To Haves

• 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.

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.

Benefits

• employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits.
• Flexible Time Off (FTO)
• tuition reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level