Senior Analytics Engineer

Extend

WorldwideFully remoteFull TimeSeniorInformation Technology
USD 155,000–170,000 a yearPosted 7h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 7 hours ago · apply link checked 3 hours ago

About the role

Responsibilities

  • Design, build and maintain scalable data pipelines across Snowflake, dbt and AWS
  • Develop integrations with internal systems, merchants, payment platforms and partners
  • Build reusable dbt models that produce trusted datasets for analytics and finance
  • Establish standards for data testing, monitoring, validation and governance
  • Partner with Engineering, Analytics, Finance and Operations on data specifications
  • Drive engineering best practices, code reviews and CI/CD; mentor teammates

Requirements

  • 5+ years as an Analytics Engineer, Data Engineer or similar
  • Expert-level SQL, including window functions and query optimization
  • Strong production experience with dbt and cloud data warehouses, preferably Snowflake
  • Deep understanding of dimensional modeling and incremental models
  • Experience with Git-based workflows, pull requests and CI/CD
  • Hands-on experience with AI coding agents such as Claude Code
  • Strong communication across technical and non-technical teams

Preferred Qualifications

  • AWS data services such as S3, Glue and Lambda
  • Infrastructure as code and cloud data architecture
  • Working knowledge of Python for automation and validation
  • Experience with APIs and external data integrations

Benefits

  • Full medical, dental and vision benefits
  • Stock in an early-stage startup
  • Flexible paid time off
  • 401(k) with Morgan Stanley financial guidance

About the Company

  • Extend provides product and shipping protection, claims and payments for over 1,000 merchant partners.
  • The company is backed by prominent technology investors and is headquartered in San Francisco.

What we look for

  • 5+ years as an Analytics Engineer, Data Engineer or similar
  • Expert-level SQL, including window functions and query optimization
  • Strong production experience with dbt and cloud data warehouses, preferably Snowflake
  • Deep understanding of dimensional modeling and incremental models
  • Experience with Git-based workflows, pull requests and CI/CD
  • Hands-on experience with AI coding agents such as Claude Code
  • Strong communication across technical and non-technical teams
  • AWS data services such as S3, Glue and Lambda
  • Infrastructure as code and cloud data architecture
  • Working knowledge of Python for automation and validation
  • Experience with APIs and external data integrations
PythonAWSSQLCI/CDData ModelingGitSnowflakeDBT
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