Data Engineer
About the job
- 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.
About the company
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
- 2026 blog activity shows active thought leadership and ongoing market visibility.
- Case studies on FP&A reporting and healthcare signal sellable, repeatable service lines.
- LinkedIn lists global reach and clients across technology, biotech, VC, and private equity.
What critics are saying
- No public funding, customers, or contract wins makes revenue concentration and churn invisible.
- A 2023 consultancy with 11-50 employees risks founder dependency and capacity bottlenecks.
- If larger consultancies package similar AI data work, Neon Redwood gets squeezed out quickly.
What makes Neon Redwood unique
- Foundational systems for AI, VC, healthcare, and infrastructure, not generic IT staffing.
- Embedded operations partner for investment firms, spanning front, middle, and back offices.
- Leadership from Foresite, Anaplan, KPMG, and Deloitte gives credibility in regulated data work.
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Benefits
Health Insurance
Vision Insurance
Dental Insurance
Unlimited Paid Time Off
401(k) Retirement Plan
Commuter Benefits