BlackRock

BlackRock

Posted via Workday

Associate, Application Engineer

Apply by Oct 31, 2026

Posted Oct 27, 2026

Role at a glance

Salary
Not Disclosed
Location
Bengaluru, India
Work arrangement
Hybrid
Employment
Full-time
Experience
4+ years of experience in software engineering

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Role Summary

AI-generated

Software Engineer role on the Preqin Enterprise Data Solutions team, building and supporting systems that distribute private markets data to enterprise clients through APIs, data feeds, and platform integrations.

What You'll Do

  • Design, implement, and maintain scalable systems that support enterprise data distribution and third-party integrations
  • Develop and enhance APIs, data delivery services, and platform capabilities that enable clients to consume private markets data efficiently
  • Partner with product managers, data owners, and engineering teams to translate business requirements into robust technical solutions
  • Contribute to architectural decisions, data modelling discussions, and technical strategy to ensure platforms remain scalable and adaptable
  • Support the reliability, observability and continuous improvement of enterprise data delivery services and operational processes

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Requires 4+ years of software engineering experience with C#, Python, PostgreSQL, Snowflake or similar data warehousing, and cloud infrastructure skills.

Required

  • 4+ years of experience in software engineering
  • Strong software engineering experience using technologies such as C#, Python, modern web frameworks, and data platforms including PostgreSQL
  • Experience working with enterprise data warehousing and analytics platforms, including Snowflake or similar technologies
  • Experience working with cloud platforms and infrastructure automation practices
  • Experience developing and deploying applications across modern software delivery environments
  • Excellent verbal and written communication and interpersonal skills
  • A proactive mindset with a willingness to learn new technologies and ways of working

Preferred

  • Experience building end-user tooling and integrations

Original job description

Content provided by the employer

About this role

What team will you be on

The Preqin Enterprise Data Solutions team is responsible for delivering high-quality private markets data to enterprise clients through APIs, data feeds, integrations with enterprise data and analytics platforms, including cloud-based data warehousing solutions, and end-user tools. The team plays a critical role in enabling clients to seamlessly access, integrate, and derive value from one of the industry's leading private markets datasets.

Why is your role important?


As a Software Engineer within the Preqin Enterprise Data Solutions team, you will join an engineering pod responsible for building and evolving the systems that power enterprise data delivery. You will help design, develop, and support scalable platforms that distribute data to clients, integrate with strategic data platforms, and enable new product capabilities. Working closely with engineers, product managers, and data owners, you will contribute to the team's technical direction while delivering solutions that support both client needs and business growth.


What will you be doing

· Design, implement, and maintain scalable systems that support enterprise data distribution and third-party integrations

· Develop and enhance APIs, data delivery services, and platform capabilities that enable clients to consume private markets data efficiently

· Partner with product managers, data owners, and engineering teams to translate business requirements into robust technical solutions

· Collaborate across engineering teams to promote best practices, improve development standards, and share technical knowledge

· Contribute to architectural decisions, data modelling discussions, and technical strategy to ensure platforms remain scalable and adaptable

· Support the reliability, observability and continuous improvement of enterprise data delivery services and operational processes


What are we looking for

· 4+ years of experience in software engineering

· Strong software engineering experience using technologies such as C#, Python, modern web frameworks, and data platforms including PostgreSQL

· Experience working with enterprise data warehousing and analytics platforms, including Snowflake or similar technologies

· Experience working with cloud platforms and infrastructure automation practices

· Experience developing and deploying applications across modern software delivery environments; experience building end-user tooling and integrations is advantageous

· Excellent verbal and written communication and interpersonal skills

· A proactive mindset with a willingness to learn new technologies and ways of working

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 Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

BlackRock

About the company

BlackRock

Large Enterprise

BlackRock is a leading global investment management firm, managing trillions of dollars in assets on behalf of clients worldwide. Founded in 1988, the company specializes in providing a range of investment and risk management services across various asset classes, including equities, fixed income, and alternatives. With a commitment to innovation and sustainability, BlackRock leverages advanced technology and data analytics to deliver insights and solutions tailored to the diverse needs of investors. The firm is headquartered in New York City and operates in over 30 countries, making it a key player in the financial industry.