Senior Data Engineering Manager

October 11

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SmartAsset

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Financial Modelling • Personal Finance • Money • Financial Advisors • Retirement

201 - 500

Description

• 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.

Requirements

• 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. • 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.

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