---
title: 'Platform Data Engineer at Neon Redwood'
canonical: 'https://feeny.ai/job/platform-data-engineer-neon-redwood-san-francisco-vnd457f2tzkm'
type: 'job'
last_seen: '2026-09-10'
---

# Platform Data Engineer at Neon Redwood

- **Company:** Neon Redwood
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-11-21
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/neonredwood/7eea2ae0-d0ba-4da8-9176-2ef66b74cc35

## Job description

## About Neon Redwood

Neon Redwood is a data services consulting company, working on cutting-edge AI and data-driven solutions. We are a team of passionate engineers and data experts, and we are currently looking for a Data Engineer to join our team and help us develop and expand our data infrastructure and analytics capabilities.

## The Role

We are seeking an experienced Data Engineer II with a strong background in data engineering and a passion for working with large-scale data sets. Help us develop and expand our data infrastructure and analytics capabilities.

The ideal candidate will have at least 2 years of professional experience and a solid understanding of Python, BigQuery, and Google Cloud Platform (GCP) or similar technologies. This full-time role will involve working closely with our CTO and other team members to design, develop, and maintain data pipelines, ETL processes, and data warehousing solutions.

## Responsibilities

- Collaborate with the CTO and other team members to design, develop, and maintain data pipelines and ETL processes.
- Write clean, efficient, and maintainable code in Python and other relevant technologies.
- Implement and optimize data storage and processing solutions using BigQuery and Google Cloud Platform (GCP).
- Ensure data quality and integrity through proper data validation and monitoring techniques.
- Stay up-to-date with the latest industry trends and technologies to ensure our data infrastructure remains competitive.
- Assist in the development and launch of new data-driven tools and products.
- Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.

## Requirements

- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
- 2+ years of professional data engineering experience.
- Proficiency in Python, BigQuery, and Google Cloud Platform (GCP) or equivalent technologies.
- Experience with data pipeline and ETL process design and development.
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Strong communication, collaboration, and a passion to develop leadership skills.
- Passion for working with large-scale data sets and staying current with industry trends.
- Experience with Asana or similar project management tools.

Additional Skills (Nice to Have)

- Experience with other data processing technologies and platforms (e.g., Apache Beam, Dataflow, Hadoop, Spark).
- Experience with data visualization tools and libraries (e.g., Looker, Sigma, D3.js).
- Knowledge of machine learning and AI concepts.
- Experience with real-time data processing and streaming technologies (e.g., Kafka, Pub/Sub).

## About Neon Redwood

## Company Overview
- **One-liner**: Neon Redwood builds foundational systems for AI, venture capital, healthcare, and infrastructure, specializing in data engineering, AI/ML workflow automation, and investment analytics.
- **Entity Type**: Private (bootstrapped; no funding rounds disclosed)
- **Headquarters**: San Diego, California, United States (also has a San Francisco office)
- **Founded**: 2023
- **Founders**: Co-founders include Phil Kallos (CTO). Other founders not publicly named.

## Core Business
- **Primary industries**: Data Infrastructure & Analytics, Artificial Intelligence, Financial Services (Venture Capital, Private Equity), Healthcare, Consulting
- **Target customers**: B2B – enterprises and investment firms in technology, biotech, venture capital, private equity, and infrastructure
- **Mission/purpose**: “Deliver foundational systems that power critical operations across AI, venture capital, healthcare, and infrastructure.”

## Products & Services
- **Core Technology Engineering**: Design of scalable system architectures, runtime systems, compute infrastructure, and data pipelines for production environments ([neonredwood.com](https://www.neonredwood.com/))
- **AI & Machine Learning Solutions**: AI/ML workflow automation, data mining, model development, and competitive intelligence platforms ([neonredwood.com/services](https://www.neonredwood.com/services))
- **Investment Performance Analytics & Reporting**: Portfolio analytics, risk/reward assessment, and custom reporting for investors and fund managers ([neonredwood.com/services](https://www.neonredwood.com/services))
- **Data Science & Analytics**: Advanced analytics, economic modeling, and data-driven insights for client decision-making ([neonredwood.com/services](https://www.neonredwood.com/services))
- **Venture Services**: Embedded finance, strategy, and operations leadership for VC and investment organizations ([neonredwood.com](https://www.neonredwood.com/))

## Market Standing
- **Valuation**: Not publicly available (private, no funding rounds disclosed)
- **Key Metric**: 15 employees as of mid-2025, with +45.5% YoY headcount growth ([linkedin.com](https://www.linkedin.com/company/neonredwood))
- **Notable Investors/Partners**: Not disclosed; clients include firms in technology, biotech, VC/PE. Talent sources include Foresite Capital, Cruise, Standish Management, VTS, and others ([linkedin.com](https://www.linkedin.com/company/neonredwood))
- **Growth Signals**: Yearly traffic growth of +92.2%; LinkedIn follower growth of +99.0% YoY; office presence in both San Francisco and San Diego with in-office work culture

## Competitive Advantages
- Interdisciplinary team combining elite data engineering, AI/ML specialization, and investment/finance expertise
- Deep technical focus on “zero-downtime systems” for high-stakes AI platforms, trading systems, and clinical systems
- Client access to founders and direct exposure to sophisticated problems across multiple industries
- Full-time in-office model (SF and SD) enabling tight collaboration and rapid iteration

## Strategic Focus
- Continue building foundational infrastructure for AI, venture capital, healthcare, and infrastructure clients
- Expand data engineering and AI/ML workflow automation capabilities for demanding production environments
- Scale team selectively while maintaining high technical bar and in-office culture

## Why Work Here
- **Culture**: “Self-starters who don’t wait for permission. Problem-finders who see issues before clients articulate them. Builders who’d rather ship than theorize.” ([linkedin.com](https://www.linkedin.com/company/neonredwood))
- **Work Environment**: Full-time in-office at San Francisco (CA) and San Diego (CA) locations
- **Perks**: Unlimited professional development budget, agency to build solutions autonomously, extremely competitive benefits package, unlimited upside as the company grows ([linkedin.com](https://www.linkedin.com/company/neonredwood))
- **Engineering Culture**: Focus on petabyte-scale ML pipelines, automated data insights, and direct collaboration with founders and clients

## Sources
1. [neonredwood.com](https://www.neonredwood.com/)
2. [neonredwood.com/services](https://www.neonredwood.com/services)
3. [linkedin.com](https://www.linkedin.com/company/neonredwood)
4. [builtin.com](https://builtin.com/company/neon-redwood)

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