Remote Senior Data Engineering Manager

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SmartAsset

πŸ’΅ $176k-$230k
πŸ“Remote - United States

Job highlights

Summary

Join a team of data scientists, analysts, and ML engineers at SmartAsset to lead data engineering efforts and play a vital role in turning data into a strategic asset.

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

Benefits

  • All roles at SmartAsset are currently and will remain remote- flexibility to work from anywhere in the US
  • Medical, Dental, Vision - multiple packages available based on your individualized needs
  • Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available
  • Supplemental Short-term and Long-term Disability
  • FSA: Medical and Dependant Care
  • 401K
  • Equity packages for each role
  • Time Off: Vacation, Sick and Parental Leave
  • EAP (Employee Assistance Program)
  • Financial Literacy Mentoring Program
  • Pet Insurance
  • Home Office Stipend

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