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LeafLinkLeafLinkUnited States

Staff Data Engineer

Lead the design and scaling of LeafLink's data platform and analytics infrastructure. Build reliable pipelines and data models using Airflow, dbt, Python, and AWS to support decision-making across the organization. Requires 8+ years building production data pipelines.

170k – 230k/yr
Remote8+ YOEData Engineering

About the role

Responsibilities

  • 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.

Requirements

  • 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.

Skills

SQLPythonAirflowdbtFivetranRedshiftSigmaAWSAWS Lambda
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