Senior Analytics Engineer

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🏄 California – Remote

🏄 California – Remote

💵 $138k - $193k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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1Password

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2009

🔒 Cybersecurity

☁️ SaaS

⚡ Productivity

💰 $620M Series C on 2022-01

Cybersecurity • SaaS • Productivity

1Password is a leading password management and cybersecurity company that offers solutions for both individual and business customers to securely store and manage passwords, secrets, and sensitive information. With features like extended access management (XAM), 1Password empowers users to manage access to every application and web account, ensuring security across all devices with alerts for possible breaches. Trusted by over 150,000 businesses, 1Password provides comprehensive security solutions that enhance productivity by enabling easy and secure sharing of credentials and managing permissions, while maintaining high visibility and control. Their services cater to enterprises and families, providing protection from bad actors in today's SaaS-centric hybrid work environment.

📋 Description

• Work at the intersection of data engineering and analytics, partnering with analysts and stakeholders across the business to turn raw data into trusted, reusable datasets. • Model data from a broad ecosystem of sources on our central data platform. • Help define and validate key metrics, ensuring the data our models, dashboards, and AI tools depend on is accurate, reliable, and well documented. • Contribute to semantic layer and metric governance, ensuring definitions are consistent, documented, and reliable across reporting surfaces. • Mentor junior and intermediate analytics engineers through code review, pairing, and knowledge sharing.

🎯 Requirements

• 5+ years in analytics or data engineering, with 3+ years focused on analytics engineering and production DBT development • Expert-level SQL and DBT skills, including advanced modeling patterns, incremental processing, and multi-environment deployment • Deep experience with modern cloud data warehouses (e.g. Athena, Snowflake, BigQuery, Databricks, or Redshift), including performance tuning, partitioning, and incremental strategies • Strong understanding of dimensional modeling, metric design, and how to document grains and business logic for consumers • Familiarity with semantic layer or metrics tooling (e.g. LookML, MetricFlow, dbt Semantic Layer) or equivalent in-repo metric standards • Hands-on experience with CI/CD for data pipelines and orchestration tools (e.g. Airflow, Dagster, Prefect) • Able to communicate complex data concepts clearly to both technical and non-technical audiences.

🏖️ Benefits

• health, dental, 401k and many others • generous paid time off • equity grant • participation in our incentive programs