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).