Senior Data Engineer

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

### What the job involves
- LeafLink is seeking a Staff Data Engineer to help lead the evolution of our data platform and analytics infrastructure
- This role will design and scale systems that power analytics, reporting, and operational insights across the organization
- Staff Data Engineers influence how data is modeled, moved, and consumed across the company
- This role partners with engineering, finance, product, and operations teams to ensure the data platform remains reliable, scalable, and capable of supporting critical decision-making
- Design and lead development of scalable data pipelines using Airflow, dbt, and Python
- Guide architecture and evolution of the company 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

### Benefits
- Healthcare, dnetal, and vision coverage
- 401k plan
- Company equity
- Unlimited PTO + 5 days of Volunteer Time Off (VTO)
- Learning and development stipend