Senior Analytics Engineer
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Job Description
Senior Analytics Engineer building Snowflake, dbt, and AWS data infrastructure for Extend’s AI-powered retail post-purchase platform. Improving pipelines, integrations, governance, and analytics systems.
Responsibilities:
- 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:
- 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:
- 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
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