Senior Analytics Engineer

1Password

Senior Analytics Engineer at 1Password utilizing data engineering and analytics to build trusted datasets. Partnering with various teams to support reporting, data science, and AI capabilities.

Posted 7/15/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $138,000 - $193,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics engineering and data modeling, with a strong focus on SQL and DBT development. Capable of mentoring others while ensuring data accuracy and reliability across various platforms and tools.

Highest-signal resume keywords

SQL ExpertiseDBT DevelopmentCloud Data WarehousingDimensional ModelingCI/CD for Data Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringData ModelingIncremental ProcessingPerformance TuningMetric DesignDocumentation of Business LogicAdvanced Modeling PatternsMulti-Environment DeploymentSemantic Layer FamiliarityOrchestration Tools

Soft Skills

Communication of Complex ConceptsMentoring

Tools & Technologies

DBTAthenaSnowflakeBigQueryDatabricksRedshiftLookMLMetricFlowAirflowDagster

Industry Keywords

Data EngineeringAnalyticsData GovernanceData PipelinesReporting Surfaces

Tech Stack

Tools & technologies

AirflowAmazon RedshiftBigQueryCloudSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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