Staff Data Engineer, Analytics

Quick Facts

• Role: Staff Data Engineer (Analytics)

• Focus: Analytics data strategy, internal reporting, agentic tooling, and experimentation

• Location: Must live within commuting distance of New York, Seattle, Los Angeles, or San Francisco hubs

Description

Build and scale analytics data systems that enable data-driven decisions across the company. You will own the analytics data strategy end-to-end—architecture, data models, delivery patterns, and the monitoring/testing needed for trustworthy reporting and datasets. You’ll also lead the AI roadmap for internal tools powered by agentic and LLM-based approaches.

Responsibilities

• Own analytics data strategy end-to-end and drive it into production

• Define data models, tooling investments, and delivery patterns balancing speed, accuracy, and scalability

• Lead agentic/LLM tooling strategy for internal tools (prompt and data standards plus trustworthy infrastructure)

• Define domain data strategy: key metrics, underlying data, and modeling/naming/usage standards

• Set data contracts and ownership boundaries for a shared source of truth

• Build monitoring, testing, and reconciliation systems to ensure consistency, accuracy, and speed

• Translate raw data into actionable business insight via cross-functional partnership

• Establish data modeling and data-quality best practices and mentor the broader org as an IC lead

Requirements

• 7+ years experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures

• Ability to design and implement dimensional, Data Vault, or ledger-style data models

• Hands-on expertise with ingestion, transformation, orchestration, and observability tooling

• Experience operating cloud data warehouses (Snowflake, BigQuery, or Redshift), including schema design, cost optimization, and tuning

• Production-grade Python or SQL experience and integration with CI/CD and infrastructure-as-code workflows

• Experience partnering across engineering, product, analytics, and business stakeholders

• Self-starter able to own both technical design and operational outcomes

• Live within commuting distance of the specified hubs

Benefits

• Work from home flexibility and home office support

• Generous holiday and time off policy

• Health insurance options (Medical, Dental, Vision)

• Cell phone and internet allowance; wellness allowance

• Childcare allowance; care benefits

• Retirement support (401k with employer match up to 4% in the US) and international pension plans

• Lifetime benefit for family planning (adoption or fertility)

• Monthly allowance to dogfood the app

• Parental leave: 16 weeks paid + one month gradual return to work

• Equity and benefits as part of compensation

Compensation

$207,000/year to $290,000/year + benefits + equity (US-based applicants).