Data Engineer - Senior - USA

Quantiphi; EE. UU.; A distancia; USD 130.000 - 180.000; Jornada completa

Descripción de la vacante

Quantiphi is seeking a senior data engineer to build and modernize cloud data platforms for asset-based finance investment and portfolio analytics. The role blends hands-on pipeline development with financial data modeling, legacy migration, and coordination across engineering and quantitative teams.

The ideal candidate will design Snowflake data lake architectures, develop ETL/ELT workflows, and ensure data quality for finance analytics.

Formación

• 8+ years of experience in data engineering, building and optimizing data pipelines and workflows.
• Strong quantitative finance knowledge, including cash flow or predictive models, backtesting, and calibration.
• 5+ years of advanced SQL experience, including complex joins, window functions, aggregations, and conditional logic.
• 5+ years of professional Python development for complex data processing and automation, using Pandas or Polars.
• Experience leading project delivery across requirements, design, build, testing, and launch; clear communication and change management skills.

Responsabilidades

• Design and maintain Snowflake data lake architectures and cloud-native pipelines for finance analytics.
• Build ETL/ELT workflows that ingest, transform, and curate structured and unstructured data.
• Support reporting and analytics through data validation, reconciliation, and financial integrity checks.
• Plan and execute legacy platform migrations, including data mapping and transformation design.
• Break delivery work into stories, coordinate timelines, and support testing, cutover, and launch readiness.

Conocimientos

Python development

SQL

Data modeling

Cloud data pipelines

Financial data analytics

Herramientas

Snowflake

Pandas

Polars

Descripción del empleo

Role overview

A senior data engineer will build and modernize cloud data platforms for asset-based finance investment and portfolio analytics. The work combines hands-on pipeline development with financial data modeling, legacy migration, and coordination across engineering and quantitative teams.

Responsibilities

• Design and maintain Snowflake data lake architectures and cloud-native pipelines for finance analytics.
• Build ETL/ELT workflows that ingest, transform, and curate structured and unstructured data.
• Support reporting and analytics through data validation, reconciliation, and financial integrity checks.
• Plan and execute legacy platform migrations, including data mapping and transformation design.
• Break delivery work into stories, coordinate timelines, and support testing, cutover, and launch readiness.

Requirements

• 8+ years of experience in data engineering, building and optimizing data pipelines and workflows.
• Strong quantitative finance knowledge, including cash flow or predictive models, backtesting, and calibration; mortgage whole loan or RMBS experience is preferred.
• 5+ years of advanced SQL experience, including complex joins, window functions, aggregations, and conditional logic.
• 5+ years of professional Python development for complex data processing and automation, using tools such as Pandas or Polars.
• Experience leading project delivery across requirements, design, build, testing, and launch; clear communication and change management skills.

Nice to have

• Structured credit experience, with familiarity in credit risk and fixed income fundamentals.
• Experience working with Snowflake and quantitative analytics teams.