Forward Deploy Sr. Data Engineer-vp

BlackRock

Atlanta, GA, USA
Base: usd$148,000.00 - usd$200,000.00; bonus/equit...
4d onsite
Data product onboarding
Structured and unstructured data
Python proficiency
As a Forward Deploy Engineer on the DPaaS team, you will deploy by embedding directly with teams across the firm, bringing their data products to life and solving real problems that only surface when a platform meets production data

Job Summary

  • As a Forward Deploy Engineer on the DPaaS team, you will deploy by embedding directly with teams across the firm, bringing their data products to life and solving real problems that only surface when a platform meets production data.
  • You will build by developing solutions that fill gaps and make it easier for teams to create and publish data products on EDP.
  • You will be at the frontier of how BlackRock thinks about data products, working with real users, influencing what gets built next, and seeing your work in production quickly across a wide range of data domains.

Matching Summary

As a Forward Deploy Engineer on the DPaaS team, you will deploy by embedding directly with teams across the firm, bringing their data products to life and solving real problems that only surface when a platform meets production data.

Salary

Base: USD$148,000.00 - USD$200,000.00; Bonus/Equity: annual discretionary bonus; Benefits: healthcare, leave benefits, retirement benefits

Skills & Requirements

Must-have

  • Data product onboarding
  • Structured and unstructured data
  • Python proficiency
  • Azure ecosystem
  • Snowflake experience
  • Kubernetes and cloud-native infrastructure
  • AI assisted development tools

Nice-to-have

  • Financial data platforms
  • Data governance platforms
  • dbt or data quality frameworks
  • LLM based tooling
  • CI/CD pipelines and DevSecOps

Key Requirements

  • 7+ years of data engineering or software engineering experience
  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent
  • Experience working with both structured and unstructured data
  • Experience with orchestration and pipeline tooling
  • Familiarity with Kubernetes, Helm
  • Demonstrated experience working directly with client or partner engineering teams

Work Rights

Not specified

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