About the job
About SmartAsset:
SmartAsset is a premier online platform dedicated to providing consumer-centric financial information and guidance. Our mission is to empower individuals to make informed financial decisions, reaching approximately 59 million users each month as of January 2025 through our educational resources and personalized tools. To further this mission, we also operate the SmartAsset Advisor Marketing Platform (AMP), bridging consumers with fiduciary financial advisors. SmartAsset has earned accolades including its ranking on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022). Additionally, we are listed among Y Combinator’s Top 100 Companies, following a successful $110 million Series D funding round in 2021 that valued the company at over $1 billion.
*Note: Apart from application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards.
About the Team:
The Data Engineering team at SmartAsset is responsible for constructing and maintaining scalable, low-latency systems that facilitate data access throughout the organization. Our platform caters to real-time and batch data requirements for analytics, reporting, and machine learning, serving various departments including Marketing, Product, Sales, and Finance.
As a member of this expanding data organization, you will collaborate with analysts, data scientists, and ML engineers who are pioneering AI/ML applications within the company. In your role as a Senior Data Engineer, you will work cross-functionally to enhance our architecture, optimize data latency, and develop robust solutions that empower data-driven decision-making on a large scale.
About the Job:
We are in search of an experienced Senior Data Engineer with over 7 years of practical experience to help construct and optimize the foundation of our data platform. In this capacity, you will design and execute impactful, cloud-native solutions that enhance data reliability, minimize latency, and scale alongside our expanding business. Your contributions will be vital in enabling data products, real-time analytics, and collaborative decision-making by providing clean, well-structured, and accessible data.
Responsibilities:
- Architect, design, implement, and manage comprehensive data engineering solutions using Agile methodologies.
- Develop and oversee robust data integrations with external vendors and organizations, including intricate API integrations.
- Work closely with Data Analysts, Data Scientists, Database Administrators, and cross-functional teams to understand requirements and deliver high-impact data solutions.
- Lead and take ownership of assigned technical projects within a dynamic environment.

