Senior Data Engineer

Yablon & Associates LLC; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Data pipelines

Airflow

Tools

BigQuery

ETL tools

Job description

We are seeking a skilled and collaborative Data/Software Engineer to join the technology team at a leading NYC-based investment and financial services firm. This role involves building and maintaining robust data pipelines and infrastructure that support high-stakes decision-making across the firm.
The ideal candidate combines strong technical expertise with a consultative mindset—someone who enjoys working closely with non-engineering stakeholders to transform data requests into actionable solutions.

Responsibilities

• 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.

Qualifications

• 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.
• Strong communication skills, especially with non-technical or business-facing teams.
• Ability to work independently in a fast-paced, high-performance environment.