Lead Analytics Engineer - AI-Driven Data Pipelines (Remote)

The Briefed; San Francisco (CA); Híbrido; USD 196.000 - 270.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive equity

Hybrid schedule

Parental leave

Medical/dental/vision

Wellness stipend

Professional development

Home office stipend

Retirement plan

Descripción de la vacante

Faire seeks a Lead Analytics Engineer to bridge analytics and data engineering, shaping product features for SMBs. You will design scalable data models and pipelines, while pioneering AI-enabled analytics operations to automate workflows and improve data quality and security.

You will collaborate with Data Scientists, Product Analysts, and Software Engineers to align data architecture with product roadmaps and strategic insights.

Formación

• 4+ years of analytics and data engineering experience.
• Production-level Python development.
• Expert SQL and data modeling skills.
• Experience with data warehousing and ETL/ELT pipelines.
• Hands-on experience with Airflow, Docker, dbt.
• Strong technical leadership and communication.
• BA/BS in CS/Math/Physics or related field.

Responsabilidades

• Design, architect, and scale high-performance data models and pipelines.
• Lead cross-team data engineering initiatives from design through production deployment.
• Embed AI capabilities into analytics workflows.
• Ensure data quality, observability, and security across data systems.
• Partner with Data Scientists, Product Analysts, and Engineers.

Conocimientos

Python

SQL

Data Modeling

Airflow

dbt

Docker

Big Data

Leadership

Communication

Python Development

Educación

BA/BS in CS/Math/Physics or related field

Herramientas

Airflow

Docker

dbt

Descripción del empleo

Faire seeks a Lead Analytics Engineer to bridge analytics and data engineering, shaping product features for SMBs. You will design scalable data models and pipelines, while pioneering AI-enabled analytics operations to automate workflows and improve data quality and security.

You will collaborate with Data Scientists, Product Analysts, and Software Engineers to align data architecture with product roadmaps and strategic insights.