Full-Time

Engineering Manager

Confirmed live in the last 24 hours

SmartAsset

SmartAsset

201-500 employees

Provides financial decision-making tools and resources

Fintech
Financial Services

Compensation Overview

$176k - $230kAnnually

+ RSUs + Benefits

Senior

Remote in USA

Candidates must be based in the contiguous United States.

Category
Data Engineering Management
Engineering Management
Required Skills
Redshift
Python
Apache Spark
SQL
Docker
AWS
Hadoop
Data Analysis
Snowflake
Google Cloud Platform

You match the following SmartAsset's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Management, or related field
  • 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
  • 2 years of professional experience processing data utilizing Snowflake, Redshift, Spark, or Hadoop
  • 2 years of professional experience prototyping Python-based ETL solutions and translating complex requirements into actionable tools
  • 2 years of professional experience utilizing SQL including advanced query optimization
  • 2 years of professional experience utilizing data modeling and relational database technologies and data warehousing systems including Snowflake or Redshift
  • 2 years of professional experience utilizing cloud platforms including AWS or GCP
  • 2 years of professional experience utilizing Spark for distributed data processing.
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.
Desired Qualifications
  • 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 provides a range of free, interactive tools and calculators that help individuals make informed financial decisions. These tools cover various topics such as home buying, refinancing, retirement planning, life insurance, taxes, investing, and personal loans. Created by personal finance experts, SmartAsset ensures that users receive reliable and accurate information to simplify complex financial choices. Unlike many competitors, SmartAsset focuses on user-friendly resources that cater to those who may not have the time or expertise to create detailed financial models. The company generates revenue through partnerships and advertising, connecting users with local financial advisors and earning fees for referrals, as well as earning affiliate commissions from financial product sign-ups. The goal of SmartAsset is to empower individuals to navigate the confusing world of personal finance with confidence.

Company Size

201-500

Company Stage

Series D

Total Funding

$156.1M

Headquarters

New York City, New York

Founded

2011

Simplify Jobs

Simplify's Take

What believers are saying

  • SmartAsset benefits from growing interest in digital financial tools among millennials and Gen Z.
  • The company is well-positioned in the expanding financial wellness market promoting financial literacy.
  • Rising demand for personalized financial advice supports SmartAsset's business model.

What critics are saying

  • Emerging fintech startups offering similar tools could dilute SmartAsset's market share.
  • Rapid evolution of AI-driven platforms may outpace SmartAsset's current technology.
  • Changes in consumer privacy regulations could impact SmartAsset's data collection practices.

What makes SmartAsset unique

  • SmartAsset offers a comprehensive suite of free, interactive financial tools and calculators.
  • The company connects users with financial advisors, earning fees for successful referrals.
  • SmartAsset's resources are created by personal finance experts, ensuring reliable information.

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Benefits

Remote flexibility

Medical, dental, & vision coverage

Life/AD&D insurance

FSA

401K

Equity packages

PTO

Parental leave

EAP

Pet insurance

Home office stipend

Health & wellness stipend

Monthly food delivery stipend

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
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