Senior Data Engineer

Summary

Join a pre-IPO startup as a senior data engineer to lead the development of a new infrastructure solution, partner with cross-functional stakeholders to build data pipelines, and drive operational excellence.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline
• Master’s degree in Computer Science or Engineering preferred
• 5+ years of experience in data engineer or similar role
• Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies
• Outstanding communication and problem solving skills, eager to work on the most pressing business problems and drive impact for the company
• Experience with data modeling, data warehousing, and ETL pipeline development
• Experience with column-based databases (Amazon Redshift, ClickHouse, etc.) and infrastructure integration with analytical platforms (Tableau, Qlik, Power BI, etc.)
• Hands-on experience and advanced knowledge of SQL
• Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.)
• Experience in process automation and deployment of advanced machine learning models

Responsibilities

• Partner with data scientists, software engineers and cross-functional stakeholders (Marketing, Operations, Finance) to build data pipelines that will provide critical data and insights to drive growth for the business, while ensuring data availability and accuracy
• Partner with data scientists and machine learning engineers to evolve, optimize, and integrate critical predictive models
• Partner with software engineers and data scientists to build data pipelines to consume and refine application data
• Define data engineering standards and best practices and drive operational excellence
• Perform regular maintenance and optimization of our data infrastructure