Senior Data Engineer

This is a fully remote position, open to applicants in New York.

📋 Description

• Design, construct, and sustain cloud-native data pipelines and data lake frameworks in Snowflake for Asset-Based Finance investment and portfolio analytics.

• Create and oversee scalable ETL/ELT workflows to ingest, transform, and manage both structured and unstructured data.

• Facilitate analytics and reporting scenarios, encompassing data reconciliation, validation, and ensuring financial data integrity.

• Assist in the transition from legacy systems to a contemporary data platform through data mapping, transformation logic, and architectural alignment.

• Decompose tasks into Epics and User Stories in Jira.

• Aid in project planning, timeline management, and coordination across various teams.

• Contribute to testing, cutover planning, and ensuring readiness for go-live.

• Connect engineering, quantitative analytics, and project execution while converting quantitative financial logic into scalable ETL/ELT frameworks.

⛳️ Requirements

• Over 8 years of relevant experience.

• Proven experience in data engineering, including the development, maintenance, and optimization of data pipelines and workflows.

• Preferred experience in the Mortgage Whole Loan and RMBS industry.

• Knowledge of quantitative finance, including cashflow models, predictive models, backtesting, and calibration.

• Familiarity with structured credit is preferred; understanding of credit risk and fixed income fundamentals is beneficial.

• Strong communication skills and capabilities in change management.

• Experience in Product/Program Management, leading full lifecycle projects that encompass requirements, design, construction, testing, cutover planning, and go-live execution.

• More than 5 years of advanced SQL expertise, including CTEs, complex window functions, conditional logic, joins, and aggregations.

• Experience with data cleaning, de-duplication, and reconciliation processes.

• Over 5 years of professional Python development experience for handling complex datasets and automation using Polars, Pandas, or equivalent libraries.

🏝️ Benefits

• Opportunity to engage with Fortune 500 companies and innovative market disruptors.

• Access to cutting-edge technologies related to artificial intelligence, machine learning, data, and cloud computing.

• Chance to be part of a vibrant team of highly dynamic and talented professionals.

• Opportunity to work with a rapidly growing AI-first digital transformation and engineering company.