Principal Analytics Engineer

Harness Inc.

United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Compensation

$180,000.0 - $200,000.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Airflow BigQuery Information Engineering Data Security Software Debugging Python (Programming Language) Metadata Repositories Operational Databases Mixpanel Standard Sql Salesforce.Com

+8 more

Tableau (Software) Workflow Management Systems Data Processing Scripting Large Language Models Snowflake Looker Analytics Amazon Redshift

Job description

Own warehouse transformations end to end - from raw ingestion through documented, stable tables that downstream teams and tools depend on
Build and maintain curated data models for product usage, customer adoption, account health, and go-to-market reporting
Set and enforce data practices: governance, access patterns, model ownership, freshness standards
Debug data issues across the full stack - source systems, pipelines, warehouse models, BI dashboards - and drive root-cause fixes, not just patches
Improve documentation and lineage so teams can self-serve without tribal knowledge
Partner directly with stakeholders across the business to turn ambiguous questions into well-scoped data models
Unblock teams on access, metric definitions, and data discoverability as part of a broader effort to reduce reliance on you as a bottleneck

Requirements

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)
Demonstrated judgment on data access and sensitive data handling

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)
PLG, adoption, entitlement, or customer health reporting

About the company

With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery - and we’re looking for exceptional talent to help us move even faster., $180,000-$200,000 USD

Harness in the news:

Accelerating Our Mission to Bring AI to Everything After Code
Goldman Sachs leads investment in software delivery startup Harness at $5.5 billion valuation
How Harness runs 16 “startups within a startup” at scale Jyoti Bansal
Harness Research Shows AI Visibility Crisis Fueling Security Nightmare
Harness has been named to the Inc. Power Partner list for software delivery success