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Senior Data Engineer - Financial Services

Rais UsaNy, WALMay 17th, 2026
Role- Senior Data Engineer (Snowflake / Python / Financial Services)Location- Onsite – New York City, NY (No Remote Option)Experience Required – 10+YearsEmployment Type -ContractIndustry Preference - Asset Management / Capital Markets / Financial ServicesJob SummaryWe are seeking two highly experienced Senior Data Engineers to design, build, and scale a modern investments data platform. The ideal candidates will have strong expertise in Snowflake, SQL, Python, and modern ELT frameworks, along with experience handling complex financial datasets.This is a hands-on role in a lean, high-impact engineering team where you will help shape the architecture, development standards, and long-term scalability of the investment data platform.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and data platforms.Build and optimize data solutions using Snowflake.Develop ELT workflows using modern frameworks such as dbt, Airflow, or similar tools.Write efficient and complex SQL queries for large-scale financial datasets.Develop Python-based data processing and automation scripts.Design and implement robust data models to support investment and financial analytics.Required Skills and Qualifications10–15 years of experience in data engineering.Strong hands-on experience with Snowflake.Advanced SQL skills.Proficiency in Python for data engineering and automation.Experience with modern ELT frameworks (dbt, Airflow, Matillion, or similar).Strong understanding of dimensional modeling and data warehousing concepts.Experience designing data models for complex financial datasets.Knowledge of data governance, lineage, and quality controls.Experience building scalable and maintainable data architectures.Nice-to-Have SkillsExperience with cloud platforms (AWS, Azure, or GCP).Knowledge of orchestration and workflow scheduling tools.Familiarity with DevOps, CI/CD, and infrastructure-as-code.Experience with market, portfolio, performance, and risk data.Exposure to data cataloging and metadata management tools.