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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering Lead - Investment Analytics - **Company:** Propertyvalue State Street Corporation - **Location:** United States - **Experience:** Expert - **Salary:** $110,000.0 - $188,750.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Big Data, Cloud Computing, Software Quality, Computer Engineering, Data Architecture, Data Visualization, Data Warehousing, Python (Programming Language), Reference Data, SQL Databases, Sql Optimization, Apache Spark, Pyspark, Information Technology, Data Pipelines, Databricks - **Published:** July 22, 2026 - **Apply:** https://www.dice.com/job-detail/063f9651-bbde-4522-8580-b6b623b6964a ## About the Role * Strong experience working with financial data in an asset management or capital markets environment, such as: + Returns and performance data + Holdings, transactions, and positions + Benchmarks and market/reference data + Performance and/or attribution concepts and calculations * Advanced development skills in: + Python, PySpark, and advanced SQL + Large-scale data processing and optimization * 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. * 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., * 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. ## Description The ideal candidate brings strong financial domain knowledge and deep technical expertise, with experience building and supporting systems that process, analyze, and deliver investment and financial data for portfolio management, research, risk, and reporting use cases. While experience with performance measurement and attribution is important, this role is broader in scope and suited for engineers who understand financial data holistically-returns, holdings, benchmarks, market data, and analytics workflows. You will work closely with portfolio managers, investment researchers, and technology partners to translate complex financial concepts into scalable, high-quality solutions built on Databricks in AWS. This role is hands-on and requires independent ownership of design and implementation. What You Will Be Responsible For * 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. * Responsible for collaborating with global team on sprint milestones. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025)