Senior Data Engineer

Job Description

Shape the future of data at LeafLink as a Senior Data Engineer. Lead the design and development of scalable data pipelines using Airflow, dbt, and Python. Guide the architecture and evolution of the company's data platform. Build integrations across modern data stack tools including Fivetran, Redshift, and Sigma. Develop serverless data services using AWS services such as Lambda. Partner with stakeholders to define reliable data models and analytics datasets. Improve pipeline reliability through testing, monitoring, and observability. Modernize legacy data processes and improve automation across the platform. Mentor engineers and analysts on data modeling and platform best practices. Drive improvements in data governance and documentation. (mention the word grass in your application)

Qualifications

1. 8+ years of experience building production data pipelines and analytics infrastructure. 2. Strong SQL skills and experience modeling large datasets. 3. Strong Python experience for building pipelines and automation. 4. Experience with Airflow, dbt, or similar orchestration and transformation tools. 5. Experience with modern data stack tools such as Fivetran, Redshift, or Sigma. 6. Experience with AWS and serverless data processing such as Lambda. 7. Strong understanding of data warehouse architecture and analytics engineering 8. Demonstrated ability to lead technical initiatives across teams.

Benefits

- Flexible PTO - 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