Senior Data Intelligence Engineer (SQL/Python)

Talanto

New York, Northern (NY, KY)

Hybrid

USD 145,000 - 185,000

Full time

10 hours ago
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Benefits offered by this job

Additional medical wellness incentives
STD, LTD, AD&D, and life insurance
Paid sabbatical program after four ye
Paid family and paternity leave
Annual educational stipend
Tuition reimbursement
CFA exam stipend
Robust training programs on industry &
Employee assistance program
Generous vacation and sick days
Volunteer days
Matching gifts program
Employee resource groups
Dependent Care FSA
Employee referral bonus program
Quarterly team building events
Employee stock program
Monthly transportation stipend

Job summary

PitchBook, a Morningstar company, seeks a Senior Research Intelligence Engineer for the Institutional Research Group. You will manage data pipelines, optimize SQL queries, and support production deployments while collaborating with Product and Data Operations teams.

You will contribute to data-driven reports, newsletters, and analytics, shaping how customers invest and view private markets. A strong quantitative background and cross-functional skills are essential.

Qualifications

  • 7+ years of experience in data engineering, data analysis, or data-driven research.
  • Demonstrated proficiency in SQL and Python.

Responsibilities

  • Serve as the primary liaison between PIRG, Product, and Dev teams to integrate PIRG methodology into Platform products.
  • Build and maintain data pipelines for new and existing data sources; manage SQL queries and views.

Skills

SQL
Python
Data engineering
Data analysis
AI-enabled coding tools

Education

Bachelor's degree in quantitative/technical field

Tools

Git
SQL views

Job description

PitchBook, a Morningstar company, seeks a Senior Research Intelligence Engineer for the Institutional Research Group. You will manage data pipelines, optimize SQL queries, and support production deployments while collaborating with Product and Data Operations teams.

You will contribute to data-driven reports, newsletters, and analytics, shaping how customers invest and view private markets. A strong quantitative background and cross-functional skills are essential.

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