
Senior Data Engineer - Data Platform & Martech Engineering
About this role
This is a full-time Senior Data Engineer position at MoneyLion based in New York, NY, with remote flexibility available. The role is designed for professionals with a strong technical background who want to drive advanced data architecture and marketing technology initiatives.
Role Overview
MoneyLion is seeking a motivated Senior Data Engineer to join the Data Platform & Martech Engineering team in New York or remotely. This professional will design, build, and scale data foundations that support analytics, customer engagement, marketing activation, AI initiatives, and financial products. The position requires a combination of software engineering expertise, data architecture skills, and modern cloud platform knowledge to deliver governed data products.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Gen is a global company focused on powering Digital Freedom through trusted consumer brands such as Norton, Avast, LifeLock, and MoneyLion. The organization delivers cybersecurity, online privacy, identity protection, and financial wellness solutions to nearly 500 million users across more than 150 countries. Gen fosters a scrappy, customer-driven culture that encourages experimentation, continuous learning, and diverse perspectives.
How to Apply
Candidates should apply directly on the official company careers page to begin the recruitment process.
Skills and tech stack
Questions candidates ask
What is the salary range for the Senior Data Engineer role?
The salary for this position ranges from $165,000 to $187,000 USD per year.
Where is the position located?
The job is based in New York, NY, with remote work options available.
What level of experience is required?
Applicants must have 5+ years of experience designing, building, and operating production-grade data platforms and distributed data systems.
What technical skills are necessary for this job?
Required technical skills include expert-level SQL, proficiency in Python, Spark, or Java, cloud data platform experience like Snowflake, and expertise in Kimball dimensional modeling.
What educational background is required?
A Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related technical field is required, while a Master's degree is preferred.