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LeafLinkLeafLinkUnited States

Senior Data Engineer

Lead design and scaling of data pipelines and analytics infrastructure using Airflow, dbt, Python, and AWS. Requires 8+ years building production data systems and strong SQL/Python skills.

125k – 155k/yr
Remote8+ YOEData Engineering

About the role

What You’ll Be Doing

  • 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.

What You’ll Bring to the Team

  • 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

AirflowdbtPythonSQLFivetranRedshiftSigmaAWSAWS LambdaData Modeling

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