Data Engineer
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-09-13
Listing for:
Green Key Resources
Full Time
position Listed on 2026-09-13
Job specializations:
-
IT/Tech
Data Engineering, Data Science Manager, Data Analyst, Data Warehousing
Job Description & How to Apply Below
- Collaborate with a dynamic data team to design, build, and optimize data pipelines and infrastructure supporting financial analytics.
- Work primarily with Snowflake, dbt, Dagster, and AWS to manage data ingestion and storage processes.
- Support a team of Analytics Engineers by ensuring accurate and reliable data for lending decisions.
- Engage with external counter parties to address data-related matters and maintain quality standards.
- Contribute to AI agent operations, supporting deployment and maintenance of AI-driven data workflows.
- Participate in a fast-paced environment, adapting to evolving business requirements and emerging tools.
- Ensure data governance principles are upheld in all data modeling and transformation tasks.
- Document data processes comprehensively to support team knowledge-sharing and auditability.
- Design and optimize batch data pipelines and ELT processes for efficient data ingestion and retrieval.
- Develop and extend dbt projects, focusing on schema design and pipeline reliability.
- Maintain Dagster orchestration for batch ingestion pipelines, ensuring reliable scheduling and observability.
- Build and manage Snowflake-AWS integrations, including S3 storage and IAM roles.
- Support data quality workflows, identifying inconsistencies and implementing resolutions.
- Define and maintain data models and schemas for efficient analytics and reporting.
- Document data structures and pipeline flows for team collaboration and audit purposes.
- Collaborate with stakeholders to translate business requirements into reliable data infrastructure.
- Bachelor's degree in Data Science, Information Systems, Computer Science, or related field.
- Minimum of 2 years of experience in Data Engineering or Analytics Engineering roles.
- Proficiency in SQL and Python for data pipeline development, including Pandas.
- Hands-on experience with Snowflake, dbt, Dagster, and AWS services.
- Solid understanding of data modeling, ETL/ELT design patterns, and governance principles.
- Experience with finance-related data and REST API integration preferred.
- Familiarity with AI/ML tooling or LLM-based pipeline development is a plus.
- Effective communication skills with technical and non-technical stakeholders.
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