
RevOps Engineer
solo.io
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Build, maintain, and optimize data pipelines that support revenue, marketing, and customer analytics.
- Develop and maintain analytical models using dbt, ensuring data is reliable, well-documented, and reusable.
- Own data transformations and modeling logic across core GTM datasets.
- Partner with stakeholders to translate vague business questions into testable data models.
- Configure, monitor, and troubleshoot data syncs using various tools.
- Ensure data integrity across Salesforce, Marketo, and downstream analytics platforms.
- Gather requirements from business units and navigate incomplete or conflicting inputs.
- Document decisions, assumptions, and tradeoffs for learning.
- Ideate, hypothesize, and test solutions independently.
- Manage multiple projects and shifting priorities in parallel, performing end-to-end testing across systems.
Requirements
- 1–4 years of experience in Revenue Operations, Analytics Engineering, Data Engineering, or Sales/Marketing Systems
- Strong working knowledge of SQL and relational data modeling concepts.
- Hands-on experience with at least one modern analytics stack (e.g., BigQuery + dbt).
- Comfort operating in ambiguous environments with minimal direction.
- Ability to explain technical concepts clearly to non-technical stakeholders.
- Confidence to challenge assumptions and suggest better approaches.
Benefits
- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdbtdata modelingdata transformationanalytical modelsdata pipelinesdata integrityend-to-end testingrevenue operationsanalytics engineering
Soft skills
communicationproblem-solvingproject managementadaptabilitystakeholder engagementcritical thinkingindependencecollaborationdocumentationhypothesis testing