Senior Analytics Engineer

🕒 August 18

🇺🇸 United States – Remote

💵 $160k - $185k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Backblaze

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2007

🛍️ eCommerce

🏢 Enterprise

💰 $5M Series A on 2012-07

Cloud Storage • eCommerce • Enterprise

Backblaze is a cloud storage company that provides scalable and secure data backup solutions for both businesses and individuals. Their B2 Cloud Storage service offers S3 compatible object storage, allowing users to easily protect and manage their data with transparent pricing. Backblaze specializes in automatic and unlimited backup services for computer systems, ensuring data protection and recovery options for users, while also supporting integration with applications for enhanced functionality.

📋 Description

• Design, build, and maintain dbt models from staging through marts using version control, code review, testing, CI/CD, and documentation • Establish modeling standards, naming conventions, and a tested, documented codebase • Migrate BI-tool calculated fields and manual SQL into governed, reusable, version-controlled models • Stand up and own the semantic layer and define certified single-source-of-truth metrics including ARR, MRR, paying customer count, retention, and GTM/funnel metrics • Align metric definitions, grain, and ownership with Finance, Revenue Operations, and Marketing • Build a repeatable process for shipping data products from landing through certification and exposure • Deliver Revenue, Customer Identity, and Funnel data products with defined schemas, grain, owners, tests, and lineage • Support auditable financial-reporting revenue models and reconcile them with Finance source numbers • Implement data-quality checks, testing, and observability • Build human-readable lineage and documentation • Partner with Data Engineering, Business Intelligence, Finance, Revenue Operations, Marketing, and other stakeholders • Build AI-ready data models for downstream automation and self-service analytics

🎯 Requirements

• 8+ years of experience in analytics engineering, data engineering, business intelligence, or a closely related role • Advanced SQL and experience building production-grade, well-tested analytical data models • Strong hands-on dbt experience, including staging-to-marts modeling, tests, macros, documentation, and CI/CD • Hands-on experience building and running dbt on a modern cloud data warehouse; direct Snowflake experience strongly preferred • Experience with a semantic or metric layer such as dbt Semantic Layer/MetricFlow, Cube, LookML, or comparable frameworks • Experience applying Git-based version control, code review, testing, and CI/CD to analytical work • Solid grounding in dimensional and/or domain-driven data modeling • Ability to define metrics and business logic from ambiguous requirements • Proactive self-starter able to drive projects end to end in ambiguous, fast-moving environments • Excellent written and verbal communication in English • Ability to maintain meaningful working-hours overlap with US Pacific time zone teams • Bonus: financial reporting, public-company metrics, SOX-compliant data, GTM/revenue/subscription systems, Tableau/Tableau Next, Python, Airflow/Dagster, Fivetran, and modern AI tools

🏖️ Benefits

• Base pay range of $160,000–$185,000 • Equal Opportunity Employer committed to diversity, equity, and inclusion • Supportive culture encouraging learning, development, growth, authenticity, and belonging