Sr. Data Engineer

Neon Redwood; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Fully covered Health Insurance

Fully covered Vision & Dental

Unlimited Time Off

Company 401k plan

Commuter Benefits Program

Job summary

Neon Redwood, based in San Francisco, is seeking an experienced Senior Data Engineer to develop and expand our data infrastructure and analytics capabilities. The ideal candidate will have 5+ years of experience, strong skills in Python, BigQuery, and Google Cloud Platform.

You will collaborate closely with the CTO, implement and optimize data solutions, and ensure data quality while mentoring junior engineers. Join us for a full-time role with competitive benefits including health and dental coverage, unlimited time off, and a 401k plan.

Qualifications

• 5+ years of professional data engineering experience.
• Strong proficiency in Python, BigQuery, Google Cloud Platform (GCP) or equivalent technologies.
• Excellent problem-solving skills and ability to work independently.

Responsibilities

• Collaborate with the CTO and team members to design, develop, and maintain data pipelines.
• Implement and optimize data storage and processing solutions using BigQuery and GCP.
• Ensure data quality through validation and monitoring techniques.

Skills

Python

BigQuery

Google Cloud Platform (GCP)

ETL process design

Data pipeline development

Problem-solving

Communication

Leadership

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Apache Beam

Tableau

Kafka

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 Senior 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 Senior Data Engineer 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 5 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.
• Participate in code reviews and provide constructive feedback to improve overall code quality.
• 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.
• 5+ years of professional data engineering experience.
• Strong 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 leadership skills.
• Passion for working with large-scale data sets and staying current with industry trends.

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., Tableau, Looker, D3.js).
• Knowledge of machine learning and AI concepts.
• Experience with real-time data processing and streaming technologies (e.g., Kafka, Pub/Sub).

Benefits

• Fully covered Health Insurance for employees and their eligible dependents
• Fully covered Vision & Dental for employees and their eligible dependents
• Unlimited Time Off
• Company 401k plan with employer contributions
• Commuter Benefits Program