Software Engineering Lead – Investment Analytics, VP

State Street

Software Engineering Lead developing high-quality applications and solutions for financial data analytics at State Street. Collaborating with investment researchers and technology partners in an Agile environment.

Posted 7/20/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesSenior💰 $110,000 - $188,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing scalable applications and data pipelines using Python, PySpark, and SQL on Databricks, with a strong focus on financial data analytics and operational reliability. Proven ability to collaborate with stakeholders and deliver end-to-end solutions in an Agile environment.

Highest-signal resume keywords

Python DevelopmentPySpark Application DevelopmentSQL OptimizationDatabricks Solutions ArchitectureFinancial Data Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPySparkSQLData Pipeline DevelopmentData Quality AssuranceRoot-Cause AnalysisAgile SDLCData WarehousingAnalytical Data PlatformsPerformance Measurement

Soft Skills

Strong Communication SkillsAnalytical Problem-SolvingCollaboration

Tools & Technologies

DatabricksAWSApache Spark

Industry Keywords

Asset ManagementFinancial ServicesCapital MarketsPerformance AttributionBenchmark Comparisons

Tech Stack

Tools & technologies

ApacheAWSCloudPySparkPythonSDLCSparkSQL

About the role

Key responsibilities & impact

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
Implement solutions that support financial analytics use cases, including (but not limited to) performance measurement, attribution, returns analysis, and benchmark comparisons
Participate in requirements analysis, solution design, and technical implementation following an Agile SDLC
Develop robust, maintainable data workflows with strong emphasis on data quality, transparency, and operational reliability
Optimize Spark and SQL workloads for scale and performance using appropriate partitioning, query design, and Databricks best practices
Own the investigation and resolution of complex production issues, including root‑cause analysis and long-term remediation
Collaborate with application, data architecture, and infrastructure teams to deliver end‑to‑end solutions
Contribute to technical standards, best practices, documentation, and design reviews
Remain current with emerging technologies and recommend improvements to tools, frameworks, and development practices

Requirements

What you’ll need

10+ years of experience delivering technology solutions, preferably within asset management or financial services
Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience
Strong written and verbal communication skills
Strong experience working with financial data in an asset management or capital markets environment
Advanced development skills in: Python, PySpark, and advanced SQL
Experience building solutions on Databricks / Apache Spark in a cloud environment (AWS preferred)
Solid understanding of data warehousing and analytical data platform concepts
Strong analytical and problem-solving skills with the ability to work independently.

Benefits

Comp & perks

retirement savings plan (401K) with company match
insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
paid-time off including vacation, sick leave, short term disability, and family care responsibilities
access to Employee Assistance Program
incentive compensation including eligibility for annual performance-based awards