Skip to content
TailscaleTailscaleUnited States

Analytics Engineer, Data

Builds and maintains production-grade data models and pipelines supporting reporting, analysis, and company decision-making. The role requires strong SQL and data-modeling expertise, attention to data quality, and the ability to improve complex or manual workflows.

152k – 190k/yr
RemoteData Engineering

About the role

Responsibilities

  • Dive into complex systems and manual workflows to understand tools and constraints.
  • Design and maintain clean, scalable, production-grade dbt models, including ARR and revenue-recognition models.
  • Work across the full data pipeline, from ingestion through transformation and visualization.
  • Balance quick fixes with thoughtful long-term system design.
  • Collaborate with Finance, Engineering, Sales, Product, Marketing, and other teams to understand data needs and deliver practical solutions.

Requirements

  • Experience designing and maintaining production-grade data models and pipelines.
  • Deep understanding of modern data modeling principles and best practices.
  • Strong SQL skills and confidence working with complex datasets and schemas.
  • High attention to detail and strong standards for data accuracy and validation.
  • Flexibility and resourcefulness when navigating manual tasks or imperfect systems.
  • Passion for clean code, scalable architecture, and incrementally reducing complexity.
  • Ability to manage time, prioritize effectively, and thrive in a fast-moving environment.
  • Clear communication skills with technical and non-technical collaborators.

Nice-to-Haves

  • Experience at a high-growth product-led growth SaaS company.
  • Experience transforming manual, ad hoc workflows into scalable data pipelines.
  • Familiarity with billing systems, GAAP accounting, revenue recognition, or audit support.
  • Exposure to Stripe, Salesforce, or Orb in billing and finance contexts.
  • Familiarity with financial cycles and fast iteration during month- and quarter-end.

Technology Stack

  • Snowflake
  • dbt
  • Hightouch
  • Fivetran
  • Looker
  • Stripe
  • Salesforce
  • Orb

Compensation and Benefits

  • Base salary range: $152,000–$190,000 USD.
  • Equity incentive plan and variable commission for quota-based roles.
  • Comprehensive health, vision, dental, and other group benefits with no waiting period.
  • Employer-funded retirement contributions matching employee contributions dollar-for-dollar, up to 0.75% of eligible compensation annually.
  • $1,500 USD annually for professional development.
  • Flexible paid time off.
  • Company-owned laptop, monthly home internet reimbursement, and $500 USD for workstation customization.
  • Paid parental leave: 20 weeks for birthing parents and 16 weeks for non-birthing parents.

Skills

SQLdbtSnowflakehightouchFivetranLookerStripeSalesforceorbData ModelingData Pipelinesgaap accountingRevenue Recognition
Zoox

Validation Test Engineer, Test Set Curation

ZooxFoster City, CA

Develops and curates large-scale test sets from driving logs to validate autonomous driving system performance. Requires Master's/PhD in data-related field, 3+ years experience, Python proficiency, and expertise in building test sets for statistical analysis.

152k – 220k/yrHybrid3+ YOEData Engineering
Coinbase

Analytics Engineer

CoinbaseUnited States

Build and maintain data models, pipelines, and dashboards that power customer experience and compliance operations. Partner with CX and compliance teams to deliver trusted, self-serve analytics.

152k – 179k/yrRemote3+ YOEData Engineering
Figma

Software Engineer, Data Infrastructure

FigmaSan Francisco, CA +1

Builds and scales distributed data infrastructure powering analytics, AI/ML, and BI at Figma. Requires 5+ years backend experience with batch/streaming tech like Spark, Kafka, and expertise in Snowflake, Golang/Python.

153k – 376k/yrRemote5+ YOEData Engineering
Fluidstack

Facilities Production Engineer, Power

FluidstackSan Francisco, CA

Build software and analytics for power systems in large-scale AI data centers. Model capacity, detect anomalies, and automate event analysis using EPMS and power quality data. Requires production coding experience on power systems with electrical knowledge.

150k – 204k/yrOn-site5+ YOEData Engineering
Distyl AI

Research Engineer, Data

Distyl AISan Francisco, CA +1

Research Engineers at Distyl build data systems and pipelines that power reliable compound AI workflows in enterprise environments. They create data quality frameworks, synthetic data strategies, and evaluation tools while partnering with researchers and customers to turn raw data into production AI value.

150k – 250k/yrHybridData Engineering