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BlackRock

Associate, Full-Stack Engineer (Python/React) - SMA Solutions

Reposted 7 Days Ago
In-Office
San Francisco, CA, USA
133K-162K Annually
Mid level
In-Office
San Francisco, CA, USA
133K-162K Annually
Mid level

About this role

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 our extensive data platform underpinning the SMA business. In this role, you will contribute across the full technology stack, building user-facing applications, developing backend services, and evolving our data platform to support a wide range of business needs. 

 

As a full-stack engineer on the team, you will design and deliver end-to-end solutions that enable users to generate, consume, and interact with data at scale. This includes developing intuitive front-end interfaces, building scalable backend services and APIs, and enhancing data pipelines and storage systems. You will work closely with stakeholders to understand requirements and ensure data and applications are reliable, timely, and of high quality. 

 

Key Responsibilities: 

  • Own feature development end-to-end, from front-end user interfaces to backend services and data layer enhancements 

  • Design, build, and maintain scalable applications and APIs that enable interaction with the firm’s data platform 

  • Develop and enhance data pipelines and services that generate and consume data from diverse systems 

  • Collaborate with stakeholders to translate business needs into technical solutions and user-facing tools 

  • Support deployment, monitoring, and reliability of applications and services in production environments 

  • Troubleshoot issues in live systems and provide real-time support for critical problems 

  • Continuously improve platform capabilities through modernization and adoption of new technologies 

  • Write clean, maintainable, and well-documented code that can be easily understood by other team members 

  • Stay current with developments in technologies across front-end, backend, and data ecosystems 

 

Requirements: 

  • BA/BS in Computer Science or equivalent practical experience 

  • At least 3+ years of post-university experience as a full-stack engineer 

  • Strong understanding of programming fundamentals—algorithms, data structures, design patterns, and paradigms 

  • Proficiency in Python and experience building backend services or APIs 

  • Experience with web development and front-end frameworks (e.g., React, Angular, or similar) 

  • Solid knowledge of SQL and relational databases 

  • Experience designing and working with distributed systems or service-oriented architectures. 

  • Ability to troubleshoot problems in live environments and provide real-time support 

  • Strong communication skills and ability to collaborate across business and technical teams 

  • Ability to work effectively in a fast-paced, interdisciplinary environment 

 

Desirable Additional Qualifications: 

  • Experience working in cloud environments (AWS, Azure, or GCP) 

  • Experience with data warehousing solutions (e.g., Snowflake) and large-scale analytics environments 

  • Familiarity with DAG-based job scheduling tools 

  • Experience with containerization and orchestration platforms (e.g., Docker, Kubernetes) 

  • Experience in the Financial Services industry 

 

 

 

For San Francisco, CA Only the salary range for this position is USD$132,500.00 - USD$162,000.00 . 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 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.

Our hybrid work model

BlackRock’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 candidates


At 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.


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.


This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.


To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.

 

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email [email protected]. All requests are treated in line with our privacy policy.

We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person’s appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses.BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

BlackRock San Francisco, California, USA Office

400 Howard Street, San Francisco, California, United States, 94105

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