Software Engineering Lead – Financial Data Engineering, Vp - State Street Investment Management
State Street Corporation
$110,000 - $188,750 annual; not specified; not spe...
Not specified
Python, pyspark, and sql on databricks
Financial data processing and analysis
Aws cloud environment
State Street Corporation is seeking a Software Engineering Lead for their Investment Analytics Application Development team, requiring extensive experience in financial data systems and strong technical skills in Python, PySpark, and SQL. The ideal candidate should possess a deep understanding of financial analytics and have experience in cloud environments, particularly with Databricks on AWS
Job Summary
Design, build, and optimize scalable applications and data pipelines using Python, PySpark, and SQL on Databricks (AWS).
Partner with business stakeholders to understand financial data, analytics requirements, and downstream usage across research, portfolio management, risk, and reporting.
Own the investigation and resolution of complex production issues, including root-cause analysis and long-term remediation.
Matching Summary
Match Score: 85
State Street Corporation is seeking a Software Engineering Lead for their Investment Analytics Application Development team, requiring extensive experience in financial data systems and strong technical skills in Python, PySpark, and SQL. The ideal candidate should possess a deep understanding of financial analytics and have experience in cloud environments, particularly with Databricks on AWS.
Salary
$110,000 - $188,750 Annual; Not specified; Not specified
Skills & Requirements
Must-have
Python, PySpark, and SQL on Databricks
Financial data processing and analysis
AWS cloud environment
Scalable application and data pipeline design
Agile SDLC participation
Nice-to-have
Performance measurement and attribution experience
BI and data visualization tools
AI-assisted development tools
Key Requirements
10+ years of experience delivering technology solutions
Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience
Strong financial domain knowledge
Experience with financial data in asset management or capital markets