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← Harness

Principal Analytics Engineer

Harness
Location
Mountain View, California, United States; San Francisco, California, United States
Posted
18 days ago
Department
Adoption
What they actually want (must-haves)
  • 6+ years in analytics engineering, data engineering, or similar, with real ownership of production data models
  • Strong SQL and a track record shipping analytical models others depend on
  • Hands-on with a modern cloud warehouse (BigQuery, Snowflake, Redshift, or similar)
  • Experience with a transformation framework (dbt, SQLMesh, or equivalent)
  • Scripting (Python or similar) for ingestion, validation, or automation
  • Experience with a BI tool (Tableau, Looker, Metabase, or similar)
Nice to have
  • Experience with data-backed AI applications — RAG pipelines, embeddings, LLM-powered internal tools (active area of investment for us)
  • Product telemetry / event-stream data (Segment, Amplitude, Mixpanel)
  • CRM/CS/GTM data sources (Salesforce, Gainsight, Outreach)
  • Data catalogs, lineage tools, governance frameworks
  • Workflow orchestration (Airflow or similar)
What the job really is

The Principal Analytics Engineer at Harness will be responsible for end-to-end warehouse transformations, building and maintaining data models for various business metrics, and ensuring data governance and access standards. This role involves debugging data issues, improving documentation for self-service, and collaborating with stakeholders to develop clear data models while reducing bottlenecks in data access.

Benefits
  • $180,000 — $200,000 USD
Things to weigh
  • No mention of remote work flexibility or specific work environment details
  • The role may involve significant cross-department collaboration, which could be demanding
  • Focus on reducing reliance on the Principal Analytics Engineer as a bottleneck may imply a need for strong communication and organizational skills
Job score2.6/5
Benefits1/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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