Lead Data Engineer with FactSet benchmark/ State Street benchmark data Experience
Title: Lead Data Engineer with FactSet benchmark/ State Street benchmark data ExperienceLocation: NYC, NYDuration: 12-24+ MonthsDesired Candidate ProfileExpert understanding of financial benchmark data across major index providers.Strong understanding of Master Data Management (MDM) concepts — ideally in financial services, but strong MDM experience in any industry will be considered.Strong understanding of relational database technologies across multiple platforms.Strong understanding of object-oriented programming and service-oriented design.Well-versed with back-end application development using Python.Web application support mindset — not necessarily a React front-end developer, but someone who understands how a front end talks to a back end, can troubleshoot typical web app error codes, read logs, and reason about microservices and performance.Works effectively both as a contributing team member and independently.Strong verbal and written communication skills.10+ years development experience with a fast-paced programming mentality and quick solution turnaround.Experience working with FactSet benchmark data and State Street benchmark data.Required SkillsExpertise in SQL across multiple relational databases (Snowflake, Sybase, SQL Server, Oracle).Expertise in Master Data Management implementation in modern data platforms such as Snowflake.Proficient with object-oriented development and backend components using Python.Proficient in ETL and ELT concepts and techniques.Experience supporting microservices web applications hosted on Azure Kubernetes Service (AKS).Experience in DevOps: GitLab CI/CD pipelines (both YAML and UI based).Knowledge of best practices for code quality, testing, and performance optimization.Experience using API protocols such as REST and GraphQL.Broad knowledge of the systems and business processes used for Middle Office and Back Office functions within investment banks or asset managers.Desired SkillsExperience with Azure cloud architecture (strongly preferred; AWS/GCP-only candidates will find this role challenging).Experience with DBT (Data Build Tool).Strong understanding of AI / ML concepts and implementations; exposure to AI coding tools such as Claude Code or GitHub Copilot.Experience with Jira, full-stack web app support, and agile frameworks.Experience with Linux and shell scripting.