oneapp - Analytics Engineer
Requirements
• 5+ years in analytics engineering or equivalent: you’ve owned production models end-to-end, not just ad hoc analysis • Expert SQL and deep dbt experience (architecture, incremental models, tests, macros, CI/CD) • Strong Databricks BI (or equivalent semantic layer) delivery • AI-savvy in practice: you already use AI coding tools daily, validate outputs rigorously, and design data for both humans and agents • Proven ability to execute in ambiguity: startup pace, incomplete specs, bias toward shipping • Clear communicator across technical and non-technical audiences • Owner mentality: you see what’s broken, fix it, and raise the bar for others • Strong plus: fintech/regulated data, Python automation, Databricks, GitLab/MR workflows, prior tech-lead or lead/senior IC experience on a lean data team • Pay Transparency • The estimated annual base salary for this position ranges from $130,000 to $170,000. Pay is generally based upon the level, complexity, responsibility, and job duties / requirements of the specific position. We then source candidates with the requisite skills, expertise, education, training, and experience. If you are selected for an interview, please feel welcome to speak to a Talent Partner about our compensation philosophy and other available benefits. • What it’s like working @ One • Competitive cash
Benefits
• Early access to a high potential, high growth fintech • Generous stock option packages in an early-stage startup • Remote friendly (anywhere in the US) and office friendly - you pick the schedule • Flexible time off programs - vacation, sick, paid parental leave, and paid caregiver leave • 401(k) plan with match • STANDARD INTERVIEW PROCESS • Initial Interview with Talent Partner • Technical or Hiring Manager Interview • Team Interview • Executive Interview • EQUAL EMPLOYMENT OPPORTUNITY
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