Python Data Engineer - Fintech Infra (Hybrid)

Lendable; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health coverage

Retirement & savings plans

Flexible work arrangements

Office meals & snacks

Job summary

Lendable is building world-class fintech data platforms in the US. This role sits in the Python Infrastructure team and focuses on transforming and modelling data with SQL and dbt, while using Python to automate workflows and data pipelines across the business.

You’ll work closely with analytics engineers and product teams to deliver reliable data products. We’re looking for strong technical fundamentals, excellent communication, and a genuine interest in building high-quality data solutions

Qualifications

• Strong technical fundamentals with a drive to build high quality data products.
• Experience transforming and modelling data using SQL and dbt.
• Experience building data workflows in Python and maintaining data pipelines.
• Excellent communication and collaboration across technical and non-technical stakeholders.

Responsibilities

• Transform and model data using SQL and dbt to support analytics products.
• Leverage Python to build data workflows, automate processes and tools.
• Collaborate with analytics engineering and data teams to improve data quality.
• Partner with stakeholders to deliver scalable data solutions.

Skills

SQL/Snowflake experience

Python development

Data pipelines

ETL processes

Cross-functional collaboration

Effective communication

Tools

Snowflake

dbt

Python

Job description

Lendable is building world-class fintech data platforms in the US. This role sits in the Python Infrastructure team and focuses on transforming and modelling data with SQL and dbt, while using Python to automate workflows and data pipelines across the business.

You’ll work closely with analytics engineers and product teams to deliver reliable data products. We’re looking for strong technical fundamentals, excellent communication, and a genuine interest in building high-quality data solutions