Associate Data Engineer, Data Management – Data Office
About this role
What team will you be on?
The BlackRock Data Office (BDO) builds and advances the firm's enterprise data capabilities through trusted, scalable, and governed data products that power investment, business, operational, and technology outcomes across BlackRock.
As part of the Data Office organization, you will work closely with product managers, data stewards, platform engineers, software engineers, data scientists, and business stakeholders to deliver reusable data capabilities that support analytics, reporting, machine learning, artificial intelligence, and digital products.
Why is your role important?
As a Data Engineer, you will play a key role in designing, building, and optimizing modern data platforms and pipelines that enable high-quality, reliable, and accessible data across the organization.
Depending on experience and level, you will contribute to or lead the design and implementation of complex data engineering solutions, influence technical direction, and help establish engineering best practices across the organization.
This role offers the opportunity to solve complex data challenges, build scalable distributed systems, and shape the next generation of enterprise data products and capabilities.
What will you be doing?
In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities.
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Design, develop, and maintain scalable, reliable, and high-performance data pipelines supporting enterprise data products.
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Build and optimize batch and real-time data ingestion, transformation, and publishing processes across diverse data sources.
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Develop reusable data engineering frameworks, components, and automation to improve platform efficiency and developer productivity.
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Ensure data products meet enterprise standards for quality, security, governance, lineage, and observability.
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Keep data separated and segregated according to relevant data policies.
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Identify opportunities to improve performance, scalability, resiliency, and cost optimization across the data platform.
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Troubleshoot complex production issues, perform root cause analysis, and implement sustainable long-term solutions.
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Contribute to engineering standards, code reviews, testing practices, continuous integration and continuous delivery (CI/CD) automation, and technical documentation.
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Automate manual ingestion processes and optimize data delivery subject to service-level agreements while partnering with infrastructure teams to improve scalability.
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Stay current on emerging technologies and recommend innovative approaches that improve the firm’s data ecosystem.
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Associate: Deliver high-quality engineering solutions while continuing to deepen technical expertise...