Data Engineer

Rise Technical Recruitment Limited; San Francisco (CA); Hybrid; USD 150,000 - 185,000; Full time

Job summary

A high-growth AI startup in San Francisco is seeking a Data Engineer to build reliable data infrastructure. This role involves designing ETL pipelines and data warehouses, tracking key metrics through dashboards, and collaborating on product analytics. The ideal candidate will have strong SQL skills and experience with ETL tools.

Benefits

Equity

PTO

Healthcare Benefits

Qualifications

• Previous experience in data engineering.
• Expert-level SQL skills.
• Strong grasp of modern data warehouses.
• Hands-on with ETL tools like Fivetran or Airbyte.
• Proficient in BI tools.

Responsibilities

• Architect and implement scalable ETL pipelines.
• Build and maintain robust data warehouses.
• Design automated data quality checks.
• Create dashboards and reporting tools.
• Partner with product and engineering.

Skills

SQL

ETL tools

Data quality checks

Dashboard creation

Data warehousing

BI tools

Python

JavaScript

Tools

Snowflake

BigQuery

Fivetran

Airbyte

dbt

Looker

Tableau

Mixpanel

PostHog

Job description

Data Engineer
$150,000 - $185,000 + Equity + PTO + Healthcare Benefits
San Francisco, CA - Hybrid (4 days/week in-office)
Are you a Data Engineer with a passion for building reliable data infrastructure and uncovering business insights and are looking to join a high-growth AI startup in the heart of San Francisco, helping shape data strategy and systems from the ground up?
This is an exciting opportunity to join a fast-growing series B AI startup backed by top-tier investors. The team is pioneering new capabilities in no-code AI agents that can collaborate across channels like email, Slack, and Zoom-handling open-ended tasks in dynamic environments whilst learning and improving over time.
As a Data Engineer, you'll own the end-to-end design and maintenance of scalable ETL pipelines, real-time data warehouses, and automated data quality systems. You'll build dashboards and analytics tools to track key metrics, partner with leadership to inform product decisions, and lead A/B testing and self-serve analytics efforts
This is a high-impact, hands-on role for data engineers who thrive on ownership, clarity, and shipping production-grade infrastructure that drives meaningful business outcomes and real-world impact.

The Role

• Architect and implement scalable ETL pipelines for customer usage data and product analytics
• Build and maintain robust data warehouses supporting real-time and batch use cases
• Design automated data quality checks, monitoring, and alerting systems
• Create dashboards and reporting tools to track core business and product KPIs
• Partner with product and engineering to instrument new features for analytics

The Person

• Previous experience in data engineering
• Expert-level SQL skills and strong grasp of modern data warehouses (e.g., Snowflake, BigQuery)
• Hands-on with ETL tools like Fivetran or Airbyte, and transformation frameworks like dbt
• Proficient in BI tools (e.g., Looker, Tableau) and spreadsheet-based analysis
• Track record of delivering independently with minimal oversight
• Proficient in Python or JavaScript for custom analysis or automation (nice to have)
• Familiarity with product analytics tools (e.g., Mixpanel, PostHog) and A/B testing frameworks (nice to have)
• Excited to work onsite 4 days a week in downtown SF