Principal Analytics Engineer
Harness · Mountain View, California, United States; San Francisco, California, United States
Posted 14 days ago
or apply directly on Harness 's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 14 days Harness 's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 17% of Harness 's roles list one
- Ghost-job risk at Harness
- high 61 stale, 0 reposted of 77 open
- Hiring momentum
- 112 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Harness 's own greenhouse board since 2026-08-03. Full hiring picture for Harness .
About this role
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
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Harness as an employer.
What you need
- 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 you get
- $180,000 — $200,000 USD
Worth weighing
- 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
Summarised from Harness 's posting. Read the full original.
Listed by Harness on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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