Associate, Data Engineer

This role sits within BlackRock’s Private Markets Data Engineering (PMDE) team, supporting the delivery of data infrastructure and analytics capabilities for private markets. As an Associate Data Engineer, you will focus on thehands-ondevelopment and support of data pipelines and analytics solutions, working under the guidance of more senior engineers.

You will contribute to well‑defined workstreams within complex data initiatives, gaining exposure to modern data engineering practices while developing your technical and domainexpertisein privatemarketsdata.

About Project Luna

This role is primarily aligned to Project Luna, a strategic initiative focused onmodernisinghow privatemarketsdata is managed and consumed at BlackRock. The project is building scalable data infrastructure and analytics platforms to improve transparency, operational efficiency, and datadriven decisionmaking across private markets.

As an Associate Data Engineer, you will support the implementation and ongoing enhancement of these platforms by contributing to pipeline development, data modelling, and analytics solutions as part of a broader delivery team.

Key Responsibilities

• Build andmaintaindata pipelines and analytics solutions using Snowflake, SQL, and Python, following established architectural standards. 

• Implement data models and transformations to support analytics and reporting use cases. 

• Work with senior engineers to deliver assigned components of larger data initiatives. 

• Collaborate with BI analysts and business partners to clarify data requirements and translate them into technical tasks. 

• Support data quality, reliability, and performance through testing, monitoring, and issue resolution. 

• Apply established best practices in data governance, security, and documentation. 

• Participate in code reviews and team forums to support consistent engineering standards. 

• Proactively raise risks, dependencies, or data issuestosenior team members. 

• Contribute to a collaborative team environment and continuous improvement initiatives.

About You

• Experience indataengineeringorasimilartechnical role, withhands-onexposure to Snowflake, SQL, and Python.

• Working knowledge of data architecture concepts and data pipeline design. 

• Familiarity with data transformation and orchestration tools such asdbt,Dagster, or Airflow. 

• Experience working alongside data engineers, analysts, or BI teams in a deliveryfocused environment. 

• Ability totakewelldefined requirements and implement technical solutions with guidance. 

• Strong attention to detail and a structured approach to problemsolving. 

• Comfortable working in afast-pacedenvironment with changing priorities. 

• Clear communicator, able to explain technical topics tonon-technical partners whenrequiredtechnicalpartners whenrequired.

Nice to Have

• Exposure tocloud platforms such as Azure or AWS. 

• Familiarity with CI/CD practices or infrastructureascode tools(e.g.Terraform).

• Exposure to analytics or AI/MLenableddata use cases. 

• Some familiarity withthefinancial servicessectorand private capital markets(e.g.private equity, real estate, infrastructure).