Full-Time
Data Engineer
Updated on 8/1/2026
Neon Redwood
11-50 employees
Builds mission-critical data and AI platforms
No salary listed
San Francisco, CA, USA
In Person
 Data & Analytics (1) |
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- A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
- At least 2 years of professional data engineering experience.
- Proficiency in Python, BigQuery, and Google Cloud Platform or equivalent technologies.
- Experience with data pipeline and extract, transform, and load process design and development.
- The ability to solve problems and work independently or as part of a team.
- Strong communication and collaboration skills, along with a passion for developing leadership skills.
- A passion for working with large-scale data sets and staying current with industry trends.
- Collaborate with the Chief Technology Officer and other team members to design, develop, and maintain data pipelines and extract, transform, and load 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.
- 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 the 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.
- Experience with other data processing technologies and platforms, such as Apache Beam, Dataflow, Hadoop, and Spark.
- Experience with data visualization tools and libraries, such as Looker, Sigma, and D3.js.
- Knowledge of machine learning and artificial intelligence concepts.
- Experience with real-time data processing and streaming technologies, such as Kafka and Pub/Sub.
Neon Redwood builds foundational data systems and AI infrastructure for clients in AI, venture capital, healthcare, and finance. It designs scalable core platforms and runtime systems that run production workloads with zero downtime, including data pipelines, system architectures, and AI infrastructure. For venture capital and investment clients, the firm serves as an embedded operations partner, offering strategy, investment research through data mining and modeling, and performance analytics to inform decisions and automate workflows. Unlike firms that offer generic consulting, Neon Redwood combines hands-on platform engineering with data science and operational leadership to deliver tailored, data-driven solutions that streamline operations and fuel growth. The company’s goal is to enable organizations to deploy reliable data and AI systems at scale while providing strategic operational support to improve investment outcomes and business performance.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
San Diego, California
Founded
2023
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Simplify's Take
What believers are saying
- Agent-native backend demand strengthens interest in modern AI infrastructure.
- Unstructured-data mining unlocks insights for healthcare and investment clients.
- FP&A automation and portfolio analytics expand recurring consulting opportunities.
What critics are saying
- Eleven-to-fifty employees limits capacity against larger consultancies and cloud vendors.
- Founded in 2023, it lacks a long reliability record for regulated buyers.
- Investment research and performance analytics face rapid commoditization from AI tools.
What makes Neon Redwood unique
- Foundational systems for AI, venture capital, healthcare, and infrastructure.
- Zero-downtime runtime systems for trading, clinical, and other high-stakes workloads.
- Embedded finance, strategy, and operations leadership for investment firms.
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Benefits
Health Insurance
Vision Insurance
Dental Insurance
Unlimited Paid Time Off
401(k) Retirement Plan
Commuter Benefits