Analytics Engineer
$112,000–$168,000 year
On-siteBoston, Massachusetts, United States
Job Summary
Own end-to-end data pipelines and models for Sales and Product analytics using dbt in Snowflake. Build curated, governed data marts and dimensional models for accounts, pipeline, and performance while implementing testing frameworks and monitoring to ensure data quality. Partner with Sales Ops, Product Managers, and Engineering teams to translate ambiguous needs into scalable data solutions and enable reverse ETL workflows. Lead design reviews and mentor others on best practices while evolving internal tooling for improved productivity. Work within a hub-and-spoke model supporting GTM, Product, and BI teams to build trusted data systems.
Required Qualifications
- 5+ years of experience in analytics or data engineering in a modern data stack (Snowflake, BigQuery, or Redshift)
- Strong expertise in SQL and dbt, with a focus on building scalable, production-grade data models
- Proficiency in Python (or similar) for orchestration or tooling
- Experience owning end-to-end data workflows, from ingestion to business impact
- Ability to translate ambiguous business needs into structured data solutions
- Strong communication skills with the ability to partner with non-technical stakeholders
- Experience implementing data testing, monitoring, and governance frameworks
- Proven ability to lead cross-functional projects with minimal guidance
- This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events.
Desired Qualifications
- Experience with Sales Operations, compensation, or GTM analytics
- Familiarity with reverse ETL tools and workflows
- Experience with Airflow, Fivetran, Workato, or similar tools
- AWS experience (S3, EC2, Lambda) and infrastructure-as-code (Terraform)
- Exposure to experimentation frameworks or product analytics systems
- Experience with data privacy controls (masking, role-based access, compliance)
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