Senior Data Engineer

We are creating the artificial intelligence to make the real world responsive and pioneering the Recognition Economy. As a Senior Data Engineer, you will play a key role in shaping data products and designing and building extensive data sets. You will collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets, and define and manage Service Level Agreements (SLAs) for all owned data sets. You will also implement data security models, ensure privacy compliance, and evolve data governance processes. The team is dedicated to advancing your skills and career in data engineering and beyond. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• Master's degree preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

Benefits

• 401(k) plan
• Short-term and long-term disability coverage
• Basic life insurance
• Lucrative stock option plan
• Bonus plans