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Analytics Engineer

OnePay · Remote · United States (Remote) ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
$140k – $190k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (US)
  • dbt + Databricks
  • AI-native workflow
  • Senior level
  • Stock options

Join OnePay as an Analytics Engineer to own the data infrastructure that powers business decisions. You will design production dbt models on Databricks, establish data quality standards, and create semantic metrics for self-service analytics. The team emphasizes speed and reliability, leveraging AI coding assistants to enhance development efficiency.

You will collaborate with Data Engineering and analytics stakeholders to transform complex business requirements into durable data products. This role requires expertise in SQL and dbt, along with a practical approach to using AI tools for model design and documentation.

What you'll do

  • Design and build production dbt models on Databricks as the source of truth
  • Support external reporting with accurate and governed data for stakeholders
  • Own data quality through testing, CI/CD, documentation, and team patterns
  • Build and evolve Databricks dashboards and semantic metrics for self-service
  • Partner with engineering and analytics teams to solve business problems
  • Drive AI-native workflows using tools like Cursor and Claude Code daily

What you'll need

  • 3+ years in analytics engineering with end-to-end production model ownership
  • Expert SQL skills and deep experience with dbt architecture and macros
  • Strong delivery experience with Databricks BI or equivalent semantic layers
  • Practical use of AI coding tools with rigorous output validation
  • Proven ability to execute in ambiguous startup environments
  • Clear communication skills for technical and non-technical audiences

Stack

  • dbt
  • Databricks
  • SQL
  • Claude Code
  • Cursor

How you'll work

  • Fully remote within the United States
  • Flexible time off policy

What you get

  • Competitive base salary and stock options
  • Health benefits starting from day one
  • 401(k) plan with company match
  • Inclusive and mission-driven culture

Hiring process

  • AI-assisted initial screen
  • Interview with Talent Partner
  • Technical or Hiring Manager Interview
  • Team Interview
  • Executive Interview
  • Offer
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