TL;DR

Staff Data Engineer (Trust And Safety): Develop and lead big data solutions to detect and combat fraud across financial technology products with an accent on building scalable batch and real-time data pipelines and designing data models. Focus on driving strategic impact through data application, solving complex data engineering challenges, and integrating AI technologies.

Location: New York, New York, USA; hybrid work mode (3 days in office, 2 days remote)

Salary: $197,000 - $266,500

Company

%hirify_global% is a global financial technology platform serving approximately 100 million customers worldwide with products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

Own the technical vision and strategy for multiple big data domains and capabilities.
Build and maintain batch and real-time data pipelines handling large data volumes.
Design data models and develop ETL jobs across big data platforms including AWS and GCP.
Collaborate with product managers, analysts, data scientists, and engineers globally.
Participate in design/code reviews and mentor team members.
Stay current with industry best practices and apply AI technologies to enhance data solutions.

Requirements

Must be located in or able to work from the United States.
8+ years of experience building big data solutions and ETL pipelines using Apache Spark or similar.
Hands-on experience with AWS (preferred), GCP, or Azure cloud platforms.
Expertise in SQL, Python, Linux, and knowledge of Docker, Kubernetes, and data streaming tools.
Strong software engineering and architecture skills with experience in Agile methodologies.
Experience with AI technologies and data quality automation.

Culture & Benefits

Competitive compensation including base salary, cash bonus, and equity rewards.
Comprehensive benefits package aligned with company plans.
Hybrid work model with flexibility between office and remote work.
Focus on diversity, equity, and inclusion with regular pay equity reviews.

Staff Data Engineer (AI)