Senior Data Engineer: Data Lake & AI (Hybrid, FinTech)

Cornspring; New York (NY); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Hybrid working environment

Impactful projects

Cutting-edge technologies

Job summary

A fintech start-up in New York is seeking a Senior Data Engineer specializing in Python to develop and maintain ETL pipelines and ensure data integrity. This high-ownership role involves working with a collaborative team in a hybrid working environment, incorporating cutting-edge AI and data technologies. Candidates should have a degree in Computer Science or a related field and solid experience in data engineering and financial data structures.

Qualifications

• Strong expertise in Python for data manipulation.
• Solid data engineering experience.
• Experience designing and maintaining ETL pipelines.

Responsibilities

• Develop and maintain ETL pipelines and ensure data quality.
• Automate data processing workflows with validation.
• Conduct testing on data movement and transformation.

Skills

Python data manipulation libraries

Financial data structures

ETL pipelines

Data integration

Remote teamwork

Azure

AWS

Education

University degree in Computer Science, Software Engineering or equivalent

Job description

A fintech start-up in New York is seeking a Senior Data Engineer specializing in Python to develop and maintain ETL pipelines and ensure data integrity. This high-ownership role involves working with a collaborative team in a hybrid working environment, incorporating cutting-edge AI and data technologies. Candidates should have a degree in Computer Science or a related field and solid experience in data engineering and financial data structures.