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Research Engineer

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BlackRock Investments

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Location:
India , Gurgaon

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Research Engineer supports investors and research teams by building data workflows, research tools, analytics pipelines, and AI-assisted capabilities that help transform investor hypotheses into actionable insights. Embedded within DS&S research pods - asset-class focused sub-teams - this role requires collaboration with investors/researchers, AI Leads, and core engineering team to deliver high-quality data assets, exploratory analyses and research-enabling components.

Job Responsibility:

  • Build and maintain web harvesting and data pipelines, transformations, and workflows to support research hypotheses and data analyses
  • Develop new capabilities to source high-quality data and create scalable and maintainable data solutions
  • Develop research utilities, prototypes, dashboards, or exploratory tools as needed by the pod for insight generation or research workflows
  • Engage with investors and researchers to understand research workflows and translate requirements into data solutions
  • Collaborate with core engineering teams to adopt data extraction and management tools and technologies to accelerate investor research
  • Collaborate with AI leads to source data and build AI applications to supplement investor research with AI-assisted solutions

Requirements:

  • Strong programming skills in Python and SQL
  • Strong problem-solving and analytical skills
  • Knowledge/curiosity about investment research workflows or similar domains
  • Prior experience in data engineering or data analytics, or data intensive applications
  • Proven ability to work collaboratively across engineering and business teams
  • 3+ years hands-on experience in Data Engineering/Analytics
  • B.S. / M.S. college degree in Computer Science, Data Science/Engineering, or related subject area

Nice to have:

  • Prior experience web harvesting tools and techniques (Scrapy)
  • Experience with cloud data tools (Snowflake, BigQuery, GCP)
  • Exposure to AI/ML tooling, LLM experimentation, or AI applications such as RAG, Summarization and Q&A (Open AI, Vertex, Anthropic)
  • Experience creating dashboards, notebooks, or lightweight research tools (Streamlit, Flask, Tableau, Power BI)
  • Familiarity with workflow orchestration or automation tools (Kubernetes/Airflow)
What we offer:
  • Strong retirement plan
  • Tuition reimbursement
  • Comprehensive healthcare
  • Support for working parents
  • Flexible Time Off (FTO)

Additional Information:

Job Posted:
February 20, 2026

Expiration:
March 23, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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