SmartAsset is an online destination for consumer-focused financial information and advice that powers SmartAsset Advisor Marketing Platform (AMP), a national marketplace connecting consumers to financial advisors. Reaching an estimated 69 million people each month (as of January 2024) through its educational content and personalized calculators and tools, SmartAsset's mission is to help people make smart financial decisions. In 2021, SmartAsset ranked #561 on the Inc. 5000 and #160 on the Deloitte Technology Fast 500™ lists of fastest-growing companies, while additionally closing a $110 million Series D funding round, valuing the company at over $1 billion. Currently, SmartAsset ranks on Y Combinator's list of Top 100 Companies of all time.
About the team:
At Smartasset you will join a team of data scientists, analysts and ML engineers that are at the forefront of AI/ML application for the company. You will have the opportunity to work cross-functionally with leaders from different teams (Marketing, Product, Sales, and Technology), and with our growing Data team.
Responsibilities:
Lead data engineering efforts and play a vital role in turning data into a strategic asset by ensuring that data platforms are scalable, secure, and efficient. Lead and mentor a high-performing team of data engineers, fostering innovation and collaboration. Oversee the development of scalable, high-performance data platforms using current technology and best practices. Develop and maintain advanced ETL pipelines in Python. Implement real-time streaming data pipelines. Optimize SQL queries for data retrieval. Utilize AWS services for efficient data storage and processing. Manage cloud storage systems for data storage efficiency. Implement Docker containerization for scalable ETL pipelines. Apply advanced statistical methods for data analysis and modeling. Utilize Snowflake data warehouse for data loading and query optimization. Facilitate data exchange with external vendors and organizations via APIs. Ensure data deliverables adhere to regulatory and security requirements. Establish CI/CD pipelines for automated deployment and testing. Leverage Spark for distributed data processing tasks. Utilize data modeling techniques to guarantee data accuracy. Enhance data pipelines for quality, security, efficiency, and scalability. Use proficient written and verbal communication skills to collaborate with cross-functional teams, facilitating the delivery of data for analytics and machine learning purposes. Position allows telecommuting from anywhere in the U.S.
MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Management, or related field, plus 5 years of professional experience as a Data Engineer, Information Architect, or any occupation/position/job title involving leading data engineering projects in a production environment.
Must also have experience in the following:
In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master's degree or U.S. equivalent in Computer Science, Computer Engineering, Information Management, or related field, plus 3 years of professional experience as a Data Engineer, Information Architect, or any occupation/position/job title involving leading data engineering projects in a production environment.
SmartAsset is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at [email protected].
California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents* Salary range: $176,000-$230,000 per year+ RSUs + benefits.
Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.
