Senior Analytics Engineer - Data Platform & AI Pipelines

Extend

United States

Remote

USD 155,000 - 170,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
Medical, dental & vision benefits
Stock in startup
Flexible PTO
401(k) with Morgan Stanley

Job summary

Extend is seeking an experienced Analytics Engineer to design, build, and optimize data pipelines in Snowflake, dbt, and AWS, powering Extend's analytics and financial systems.

You will collaborate with Engineering, Analytics, Finance, and Operations to define data specifications, ensure data reliability, and drive scalable data solutions while mentoring teammates.

Join a fast-growing team in the US to help extend post-purchase intelligence with robust data foundations and governance.

Qualifications

  • 5+ years of experience as an Analytics Engineer or Data Engineer.
  • Expert-level SQL skills with complex joins, windows, and optimizations.
  • Strong dbt experience with cloud data warehouses, preferably Snowflake.
  • Deep understanding of data modeling, dimensional modeling, and SCDs.
  • Experience designing end-to-end data pipelines and CI/CD workflows.
  • Hands-on experience with AI coding agents (e.g., Claude Code).
  • Ability to lead technical projects and communicate across teams.

Responsibilities

  • Design, build, and maintain scalable data pipelines and architecture across Snowflake, dbt, and AWS.
  • Develop integrations with internal systems, merchants, and external partners; create reusable dbt models.
  • Establish data quality, governance, testing, and documentation practices.

Skills

SQL
dbt
Snowflake
Data Modeling
Data Pipelines
Git CI/CD
AI coding agents
Leadership

Tools

Snowflake
dbt
AWS

Job description

Extend is seeking an experienced Analytics Engineer to design, build, and optimize data pipelines in Snowflake, dbt, and AWS, powering Extend's analytics and financial systems.

You will collaborate with Engineering, Analytics, Finance, and Operations to define data specifications, ensure data reliability, and drive scalable data solutions while mentoring teammates.

Join a fast-growing team in the US to help extend post-purchase intelligence with robust data foundations and governance.

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