# Platform Data Engineer at Neon Redwood

Platform Data Engineer at Neon Redwood in San Francisco. On-site, full-time. Posted November 21, 2025.

- Company: Neon Redwood
- Location: San Francisco
- Workplace: On-site
- Job type: Full-time
- Experience: 2+ years
- Posted: 2025-11-21
- Apply: https://jobs.ashbyhq.com/neonredwood/7eea2ae0-d0ba-4da8-9176-2ef66b74cc35/application
- Source: https://jobmagic.ai/jobs/platform-data-engineer-neon-redwood-96qnwk

## 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.

## 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).