Design and deliver intelligent, scalable, and reliable data systems
Accelerate data collection at scale
Build and maintain ci/cd pipelines
This hybrid role combines data engineering, AI/ML integration, system reliability, and DevOps to accelerate data collection, enable intelligent workflows, and drive business impact
Job Summary
This hybrid role combines data engineering, AI/ML integration, system reliability, and DevOps to accelerate data collection, enable intelligent workflows, and drive business impact.
Key Responsibilities include accelerating data collection at scale, designing and deploying AI/ML workflows, operating as a full stack data engineer, and building reusable frameworks.
BlackRock offers a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, and Flexible Time Off (FTO).
Matching Summary
This hybrid role combines data engineering, AI/ML integration, system reliability, and DevOps to accelerate data collection, enable intelligent workflows, and drive business impact.
Skills & Requirements
Must-have
Design and deliver intelligent, scalable, and reliable data systems
Accelerate data collection at scale
Build and maintain CI/CD pipelines
Implement observability and reliability features
Contribute to infrastructure as code
Champion best practices in code quality
Nice-to-have
Collaborate across engineering, data analytics, and business teams
Uphold engineering excellence
Support for working parents
Flexible Time Off (FTO)
Key Requirements
4+ years' experience in data engineering, ML, or system/platform engineering
Bachelor’s or master's degree in CS, Data Science, Engineering, or related field