Software Engineering Lead – Financial Data Engineering

State Street

Software Engineering Lead at State Street responsible for financial data engineering. Designing scalable applications and collaborating with stakeholders for investment analytics solutions.

Posted 4/17/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesSenior💰 $110,000 - $188,750 per yearWebsite

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
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

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
Effective communicator able to collaborate across technical and non-technical stakeholders
Familiarity with BI and data visualization tools for enabling reporting and insight delivery
Experience leveraging AI‑assisted development tools to improve productivity and code quality

Benefits

Comp & perks

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 our Employee Assistance Program
incentive compensation including eligibility for annual performance-based awards
eligibility for certain tax advantaged savings plans

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonPySparkSQLDatabricksApache Sparkdata warehousinganalytical data platformAI-assisted development toolsperformance measurementbenchmark comparisons

Soft Skills

strong written communicationstrong verbal communicationcollaborationproblem-solvingroot-cause analysistransparencyoperational reliabilityeffective communicationstakeholder engagementdocumentation

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Computer Engineering