Software Engineer with Investment & wealth management exp. (MUST)

10+ years of commercial software engineering experience zSQL Databricks, including Databricks schedulerKnowledge of State Street Alpha Data PlatformExperience of working with Charles River Investment Management Solution (CRIMS), specifically for integration via the CRIMS API Investment Management experience; both of business functions and data domainsExcellent communication skills and ability to work cross-functionally with non-technical stakeholdersSelf-driven and motivated work ethicAbility t

Core Competencies:Advanced proficiency in Python, SQL Server, Snowflake, Azure Databricks, and PySpark.Strong understanding of relational databases, ETL processes, and datamodeling.Expertise in system design, architecture, and implementing robust datapipelines.Hands-on experience with datavalidation, quality checks, and automation tools (Autosys, Control-M).Effective communicator with the ability to collaborate with business analysts, users, and global teams.Key Responsibilities:Collaborate with

Role: Senior Data Engineer (Databricks)Location: NYC, NY & Seattle, WA (Hybrid)Project descriptionWe are seeking a seasoned professional whose role sits at the intersection of platform engineering, data engineering, and data product development. You will build reusable platform capabilities and data products that let quantitative researchers discover, access, and consume data across a complex, disparate landscape, and then accelerate the good prototypes to production.This is a contractor positio

Position: Databricks Engineer / Architect Employment Type: Contractual Work Arrangement: Remote Experience: 10+ years overall, with 4+ years of hands-on Databricks experience Location: Remote About the Role We are seeking an experienced Databricks Engineer / Architect to design, develop, and optimize modern data platforms and large-scale data engineering solutions using Databricks and cloud technologies. The ideal candidate will have strong hands-on expertise in Databricks, Apache Spark,