Associate , Data Acquisition Engineering

Associate , Data Acquisition Engineering

About this role

Key Responsibilities
Technical Contribution & Best Practices
Contribute to Private Markets Data Engineering priorities, aligning work with the broader data strategy.
Contribute hands-on to data modeling, orchestration, and platform scalability initiatives.
Apply best practices for engineering quality (testing, security, and observability).

Data Platform & Pipeline Development
Design and implement scalable data pipelines using Python, Java, SQL, and modern orchestration frameworks (e.g., Directed acyclic graph-based workflow orchestration framework for data and batch processing, Temporal).
Build APIs and backend services for data distribution and consumption, optimizing for performance and resilience.
Support the integration of AI/ML-enabled workflows with human expertise to improve data collection and decision-making.

Operational Excellence
Ensure data quality and integrity through automated validation (e.g., Great Expectations).
Monitor and troubleshoot data workflows; implement observability and performance improvements.
Contribute to infrastructure-as-code and CI/CD practices to enable efficient, reliable deployments.

Collaboration & Stakeholder Engagement
Partner with product, data research, and program management teams to deliver outcome-based solutions.
Contribute to technical discussions across engineering pods and share knowledge to help elevate development standards.
Required Skills & Qualifications
Experience
3+ years of experience in software engineering and/or data engineering.
Experience designing, building, and supporting data platforms and pipelines in production environments.
Excellent communication skills, with the ability to partner with stakeholders and translate requirements into technical deliverables.

Technical Expertise
Education
Bachelor’s degree in Computer Science, Engineering, or a related field
Strong programming skills in Python, .NET, and/or Java; experience building backend services and APIs.
Strong understanding of distributed systems, microservices, and API design (e.g., RESTful services) in a production environment.
Working knowledge of data science libraries (e.g., Pandas, NumPy, scikit-learn).
Proficiency in SQL for querying, data modeling, and troubleshooting.
Experience with orchestration tools (e.g., Directed acyclic graph-based workflow orchestration framework for data and batch processing), data transformation (dbt), and data validation frameworks.
Hands-on experience with relational data stores (e.g., PostgreSQL, Snowflake) and familiarity with NoSQL/search technologies (e.g., MongoDB, Elasticsearch).
Experience with Open Container Initiative (OCI) container image packaging and runtime and familiarity with container orchestration (e.g., Enterprise-grade container orchestration platform supporting declarative infrastructure and horizontal scaling) in Azure and/or AWS environments.
Strong cloud-native development experience on AWS and/or Azure, including infrastructure-as-code knowledge (e.g., Terraform).
Strong CI/CD, Git, and DevOps practices to support reliable cloud deployments.
Familiarity with observability and monitoring tools (e.g., Azure Monitor, metrics collection, Grafana).

Preferred
Experience in financial services and/or private markets.
Exposure to AI/ML-enabled data workflows.
Exposure to modern DevOps practices.

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.

Experience Level

Mid Level