Senior Data Engineer: Build Scalable Pipelines & Data Products

Yablon & Associates LLC; New York (NY); Presencial; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

Yablon & Associates LLC, a NYC-based investment and financial services firm, is seeking a Data/Software Engineer to design and maintain robust data pipelines and infrastructure that support high-stakes decision-making.

The role combines strong technical skills with a consultative mindset, translating data requests from non-engineering stakeholders into actionable solutions and scalable architectures.

Formación

• 3+ years of experience in data engineering or software development roles.
• Fluency in Python and SQL, with strong data manipulation and transformation skills.
• Practical experience with Airflow or similar orchestration/workflow tools.
• Familiarity with GCP, BigQuery, or similar cloud-based data platforms.

Responsabilidades

• Design, implement, and maintain scalable data pipelines using Python, SQL, and Airflow or other ETL orchestration platforms.
• Integrate diverse data sources into a centralized platform, ensuring accuracy, performance, and reliability.
• Translate non-technical requests into clear engineering specifications and deliver clean, business-ready data products.
• Leverage cloud infrastructure (preferably GCP/BigQuery) to scale and optimize data workflows.
• Collaborate across teams—investment analysts, operations, research—to enable data-driven decisions.
• Write production-quality code with attention to reusability, performance, and documentation.
• Participate in architectural discussions and help drive improvements to our data systems.

Conocimientos

Python

SQL

Data pipelines

Airflow

Herramientas

BigQuery

ETL tools

Descripción del empleo

Yablon & Associates LLC, a NYC-based investment and financial services firm, is seeking a Data/Software Engineer to design and maintain robust data pipelines and infrastructure that support high-stakes decision-making.

The role combines strong technical skills with a consultative mindset, translating data requests from non-engineering stakeholders into actionable solutions and scalable architectures.