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Senior/Staff Analytics Engineer

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Onsite

Senior/Staff Analytics Engineer

Ladders

Senior/Staff Analytics Engineer

Skills

SQL QueriesData EngineeringData AnalysisAIdbt

1 month ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

24 September 2026

What they need


For our client, we are seeking a Senior/Staff Analytics Engineer to join the team of a leader in the Enterprise Technology space.

This role will own and evolve the analytics engineering foundation that supports scalable, trusted data models across the organization.

The ideal candidate will bring deep dbt and SQL expertise, partnering closely with analysts, data engineering, and business stakeholders to create governed datasets and authoritative metrics.

You will also help advance self-service and AI-assisted analytics by strengthening semantic layers, metadata, and data modeling standards.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $135,000 – $160,000 annually

Responsibilities

  • Own and evolve the analytics engineering architecture for scalable data models
  • Design, build, and maintain dbt models serving authoritative business metrics
  • Define and improve data modeling and engineering standards, including code reviews
  • Enable self-service and AI-assisted analytics through semantic and context layers
  • Collaborate with analysts to standardize business logic into governed datasets
  • Enhance data quality and efficiency by partnering with Data Engineering teams
  • Mentor teams on dbt development and best practices in analytics engineering

Qualifications

  • 7+ years in analytics engineering or a related field, with 3+ years using dbt in production
  • Expert-level SQL and experience with Kimball dimensional models
  • Deep understanding of modern analytics engineering practices like Git, CI/CD, and data governance
  • Experience building metadata layers that support self-service analytics for both humans and AI
  • Proficiency in cloud data warehouse architecture, specifically with BigQuery or similar platforms
  • Ability to establish technical standards and influence engineering practices across teams
  • Strong partnership skills with analysts and business stakeholders for scalable data modeling

Benefits

  • 4 weeks of paid vacation
  • 14 weeks of fully paid parental leave for bonding with new children
  • 100% employer-paid medical coverage and 99% dental and vision coverage for employees and dependents
  • Monthly wellness lifestyle stipend for mental health, hobbies, and related expenses
  • Commuter benefits for Bay Area employees and home office stipends for remote workers

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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