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Extend

Senior Analytics Engineer

Extend

. Design, build, and maintain scalable data pipelines and architecture across Snowflake, dbt, and AWS .

Posted 11/6/2026full-timeRemote • United StatesSenior💰 $155,000 - $170,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable data pipelines using Snowflake and dbt, with a strong focus on data modeling, testing, and governance. Proven ability to lead technical projects and communicate effectively with both technical and non-technical stakeholders.

Highest-signal resume keywords
Expert-Level SQL SkillsProduction Experience With dbtEnd-To-End Data Pipeline DesignGit-Based Development WorkflowsHands-On Experience With AI Coding Agents

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLDbtData ModelingData Pipeline DevelopmentData TestingData ValidationData GovernanceQuery OptimizationComplex JoinsWindow Functions
Soft Skills
Strong Communication SkillsMentoringTechnical Guidance
Tools & Technologies
SnowflakeAWSCI/CDGitAI Coding Agents
Industry Keywords
Data InfrastructureAnalyticsOperational DataData IntegrityTechnical Decisions

Tech Stack

Tools & technologies
AWSCloudSnowflakeSQL

About the role

Key responsibilities & impact
  • Design, build, and maintain scalable data pipelines and architecture across Snowflake, dbt, and AWS
  • Lead technical decisions around ingestion, transformation, orchestration, and data modeling
  • Develop and improve integrations with internal systems, merchants, payment platforms, and external partners
  • Build reusable dbt models transforming raw source data into trusted datasets for analytics, financial systems, and reporting
  • Establish standards for data testing, monitoring, validation, documentation, and governance
  • Implement automated controls to identify data issues early and improve data integrity
  • Partner with Engineering, Analytics, Finance, Operations, and Financial Systems
  • Define data specifications and communicate technical concepts and tradeoffs to technical and non-technical stakeholders
  • Drive best practices across SQL, dbt, code reviews, CI/CD, and development workflows
  • Optimize performance, simplify architecture, and reduce manual processes
  • Mentor teammates and provide technical guidance
  • Incorporate AI coding agents and tools into development workflows while rigorously reviewing AI-generated code

Requirements

What you’ll need
  • 5+ years of experience as an Analytics Engineer, Data Engineer, or in a similar role focused on data infrastructure, analytics, or operational data
  • Expert-level SQL skills, including complex joins, window functions, advanced transformations, and query optimization across large datasets
  • Strong production experience with dbt and cloud data warehouses, preferably Snowflake, including data modeling, testing, documentation, and deployment practices
  • Deep understanding of data modeling principles, including dimensional modeling, facts and dimensions, slowly changing dimensions, and incremental models
  • Experience designing and maintaining end-to-end data pipelines, from source ingestion through transformation and downstream reporting
  • Experience with Git-based development workflows, including pull requests, code reviews, CI/CD, and collaborative development practices
  • Hands-on experience building with AI coding agents, such as Claude Code
  • Ability to independently lead technical projects and make sound architectural decisions
  • Ability to balance immediate business needs with long-term platform improvements
  • Strong communication skills and ability to work effectively across technical and non-technical teams
  • Ability to work in the United States, with no immigration-related sponsorship provided

Benefits

Comp & perks
  • Competitive salary based on experience
  • Full medical benefits
  • Dental and vision benefits
  • Stock in an early-stage startup growing quickly
  • Generous, flexible paid time off policy
  • 401(k) with Financial Guidance from Morgan Stanley
  • Collaborative and supportive environment
  • Working with a diverse team