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Data Integration Engineer (Python) - SMA Engineering

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BlackRock Investments

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Location:
United States , San Francisco ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

132500.00 - 162000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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
  • 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 have:

  • 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
What we offer:
  • Annual discretionary bonus
  • Healthcare
  • Leave benefits
  • Retirement benefits
  • Strong retirement plan
  • Tuition reimbursement
  • Comprehensive healthcare
  • Support for working parents
  • Flexible Time Off (FTO)

Additional Information:

Job Posted:
February 20, 2026

Expiration:
May 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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