BlackRock

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

United States · Work style not stated · Full time

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About the role

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  • EmployerBlackRock
  • LocationUnited States
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

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 uniquevalues-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—withevolutiona 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,consumptionand infrastructure are ideal candidates.

Show full description

About this Role:

We are expanding the team of engineers thatownsandoperatesour 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 withdata atscale. 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, andmaintainscalable 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

Continuouslyimproveplatform capabilities through modernization and adoption ofnew 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

Proficiencyin 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 communicationskills 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 Disability.Assistance@blackrock.com. 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.

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At a glance

  • Employment typeFull time
  • SeniorityEntry level
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

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SQL Python Snowflake AWS GCP Azure Kubernetes Docker React

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