
Senior Data Engineer
Posted Jun 20

Posted Jun 20
This is a fully remote position, open to applicants in United States.
• Design and oversee the development of scalable data pipelines utilizing Airflow, dbt, and Python.
• Direct the architecture and advancement of the company’s data platform.
• Create integrations across contemporary data stack tools including Fivetran, Redshift, and Sigma.
• Develop serverless data services employing AWS technologies such as Lambda.
• Collaborate with stakeholders to establish dependable data models and analytics datasets.
• Enhance pipeline reliability through rigorous testing, monitoring, and observability.
• "include the word grass in your application"
• Revamp legacy data processes and enhance automation throughout the platform.
• Mentor engineers and analysts on best practices in data modeling and platform utilization.
• Propel improvements in data governance and documentation.
• 8+ years of experience in constructing production data pipelines and analytics infrastructure.
• Proficient SQL skills with experience in modeling extensive datasets.
• Strong Python expertise for developing pipelines and automating processes.
• Familiarity with Airflow, dbt, or other orchestration and transformation tools.
• Experience with modern data stack tools like Fivetran, Redshift, or Sigma.
• Proficient in AWS and serverless data processing technologies such as Lambda.
• Solid understanding of data warehouse architecture and analytics engineering.
• Proven ability to lead technical initiatives across multiple teams.
• Flexible PTO - you’re going to be working hard so enjoy time off with no cap!
• A robust stock option plan to give our employees a direct stake in LeafLink’s success.
• 5 Days of Volunteer Time Off (VTO) - giving back is important to us and we want our employees to prioritize cultivating a better community.
• Competitive compensation and 401k.
• Comprehensive health coverage (medical, dental, vision).
• Commuter Benefits through our Flexible Spending Account.
HubSpot
Prima
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