Hybrid NYC Data Engineer: Build Smart Pipelines & AI Apps

Theguarantors; New York (NY); Hybrid; USD 115,000 - 130,000; Full time

Job summary

TheGuarantors, a fintech leader in renter underwriting, seeks a Data Engineer in a hybrid NYC role. You will build, optimize, and maintain data pipelines, ensure data availability for analytics, and support AI/ML workflows.

This role emphasizes collaboration with data scientists and business teams to deliver robust data solutions. Ideal candidates have strong SQL and Python, data modeling basics, and experience with data warehousing and ETL tools.

Qualifications

• SQL and Python scripting experience demonstrated.
• Basic data modeling concepts understanding.
• Experience using data integration and ETL tools.
• Knowledge of data warehousing concepts and technologies.
• Experience with AI-integrated development tools.
• Strong problem-solving and attention to detail.
• Excellent communication and teamwork.

Responsibilities

• Ingest, design and implement ETL/ELT pipelines from multiple sources.
• Monitor and ensure data quality and resolve issues.
• Assist in data warehousing design and maintenance.
• Automate routine data engineering tasks for reliability.
• Develop lightweight data apps for ML interfaces and analysis.
• Optimize data pipeline performance and processing times.
• Document data pipelines and data flows.
• Collaborate with analysts, scientists, and stakeholders.
• Stay current with industry best practices and new tools.
• Support core data models, feature store, and ML workflows.

Skills

SQL

Python

Data Modeling

ETL Tools

Data Warehousing

AI Tools

Communication

Teamwork

Adaptability

Education

Bachelor's degree in CS/IT or related

Tools

Stitch

Talend

Airbyte

Fivetran

Snowflake

Redshift

BigQuery

Cursor

Claude Code

Github Copilot

Airflow

Job description

TheGuarantors, a fintech leader in renter underwriting, seeks a Data Engineer in a hybrid NYC role. You will build, optimize, and maintain data pipelines, ensure data availability for analytics, and support AI/ML workflows.

This role emphasizes collaboration with data scientists and business teams to deliver robust data solutions. Ideal candidates have strong SQL and Python, data modeling basics, and experience with data warehousing and ETL tools.