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Regenified™

Data & AI Lead

Regenified™

. Build and maintain data models and pipelines in the data warehouse, currently Snowflake and dbt .

Posted 10/12/2026full-timeRemote • Colorado • United States, CanadaSenior💰 $90,000 - $110,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and maintaining data models and pipelines using Snowflake and dbt, with strong SQL and Python skills. Capable of delivering analytics and integrating various data sources while ensuring data quality and collaborating with stakeholders.

Highest-signal resume keywords
Data EngineeringSQLPythonSnowflakeAPI Integrations

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelingData Pipeline DevelopmentSQLPythonAPI IntegrationAnalytics DeliveryAI Tool DevelopmentData Quality ManagementData ValidationData Integration
Soft Skills
Stakeholder CommunicationProblem SolvingCollaborationTradeoff Discussion
Tools & Technologies
SnowflakeDbtCRM ToolsProject Management ToolsRemote Sensing ToolsLLMs
Industry Keywords
Agricultural DataEnvironmental DataRemote Sensing Data

Tech Stack

Tools & technologies
PythonRemote SensingSQL

About the role

Key responsibilities & impact
  • Build and maintain data models and pipelines in the data warehouse, currently Snowflake and dbt
  • Run integrations connecting CRM, project management, field data, and remote sensing tools
  • Bring new partner data sources onto the platform, including soil labs, remote sensing, and agricultural management data
  • Own data quality across the platform and work with teams to resolve issues at the source
  • Deliver analytics for leadership reporting, customer reporting, and data products
  • Build and validate AI tools to reduce manual work in verification and operations delivery
  • Work with platform users to understand challenges and shape appropriate solutions
  • Lead delivery of the data platform and its pipelines, integrations, analytics, and AI tooling

Requirements

What you’ll need
  • 5+ years in data or analytics engineering
  • Strong SQL and Python skills
  • Hands-on experience in Snowflake, dbt, or a similar stack
  • Experience building API integrations
  • Experience using LLMs to solve real business problems
  • Ability to understand how the business runs and identify when numbers look incorrect
  • Ability to discuss tradeoffs with non-data stakeholders
  • Agricultural, environmental, or remote sensing data experience is a bonus

Benefits

Comp & perks
  • Unlimited PTO
  • 100% premium coverage for medical, dental, and vision
  • Partial coverage for dependents
  • Career growth opportunities
  • Inclusive environment
  • Disability-related adaptation during the recruitment process