About this role
Seeking a data-driven software engineering professional with experience designing, developing, testing, and maintaining robust applications and data-driven solutions that support the Platform Health Program. This role will build scalable software, data pipelines, analytics, and reporting capabilities that improve portfolio transparency, operational efficiency, data quality, and strategic decision-making.
The ideal candidate is based in New York and brings a combination of software development, data engineering, analytics, and technology portfolio experience, with the ability to translate business requirements into reliable technical solutions and collaborate effectively across Technology, Product, Finance, and Portfolio Management teams.
- Strong programming and software-development experience with hands-on proficiency in Python or Java, SQL, Python DB-API or JDBC, ETL/ELT, REST APIs, SQL Server, HTML, JavaScript, CSS, Bootstrap, and large-scale data analysis.
- Hands-on experience with source control, deployment, and runtime technologies such as GitHub, Docker, Apache Tomcat or Uvicorn, CI/CD pipelines, and Windows/Unix platforms.
- Experience designing and integrating software and data solutions across enterprise database and cloud environments, including Oracle platforms, SQL Server, and Google Cloud Platform.
- Proven ability to perform code reviews, performance tuning, unit and integration testing, troubleshooting, and application lifecycle management.
- Proficiency in Power BI, Microsoft Fabric, DAX, Power Query, Excel, and PowerPoint, including development of dashboards, automated reports, and portfolio-performance visualizations.
- Familiarity with AI/ML-assisted analytics, workflow automation, Microsoft Power Platform, and issue-tracking or project-management tools such as Jira and Bugzilla.
- Knowledge of data integration, database management, data modeling, data-quality validation, reporting automation, and data-governance best practices.
- Strong analytical, problem-solving, communication, and stakeholder-management skills, with the ability to translate complex business and data requirements into scalable technical solutions.
- Bachelor's degree in Computer Science, Engineering, Data Analytics, Business Analytics, or equivalent professional experience; advanced degree preferred.