Staff Data Engineer

LeafLink

LeafLink is seeking a Staff Data Engineer to design and scale their data platform and analytics infrastructure. Collaborate with teams to ensure reliable, scalable data for decision-making.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesLead💰 $170,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and leading the development of scalable data pipelines using Airflow, dbt, and Python, with a strong focus on data governance and automation. Proven ability to mentor teams and drive technical initiatives in data architecture and analytics engineering.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencyPython ProgrammingAWS Serverless ServicesData Warehouse Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentSQLPythonAirflowDbtFivetranRedshiftSigmaAWS LambdaData Modeling

Soft Skills

MentoringStakeholder CollaborationTechnical Leadership

Tools & Technologies

AirflowDbtFivetranRedshiftSigmaAWS Lambda

Industry Keywords

Data GovernanceData ArchitectureAnalytics EngineeringData AutomationData Observability

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSPythonSQL

About the role

Key responsibilities & impact

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.
"mention the word grass in your application"
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

What you’ll need

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.

Benefits

Comp & perks

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