Data Engineer

Neon Redwood; San Francisco (CA); Remote; USD 80,000 - 150,000; Full time

Job summary

An established industry player is seeking a Senior Data Engineer to join their fully remote team. This exciting role involves developing and expanding data infrastructure and analytics capabilities, working with technologies like Python, BigQuery, and Google Cloud Platform. You'll collaborate with the CTO, mentor junior engineers, and stay ahead of industry trends, all while enjoying a flexible work environment. With a focus on innovation and teamwork, this position offers the chance to make a significant impact in the field of data services. If you're passionate about data and eager to contribute to cutting-edge solutions, this opportunity is perfect for you.

Benefits

Fully covered Health Insurance

Fully covered Vision & Dental

Unlimited Time Off

Company 401k plan with employer contributions

Supplemental monthly health and wellness stipend

Qualifications

• 2+ years of experience in data engineering with a strong background in Python.
• Experience designing and developing data pipelines and ETL processes.

Responsibilities

• Collaborate to design and maintain data pipelines and ETL processes.
• Write clean and efficient code in Python and optimize data solutions.

Skills

Python

Data Engineering

Problem-Solving

Collaboration

Leadership

Education

Bachelor's degree in Computer Science

Equivalent work experience

Tools

BigQuery

Google Cloud Platform (GCP)

Apache Beam

Hadoop

Spark

Job description

The company

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 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.

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).

Benefits:

Fully remote team and intend to remain this way, a lot of flexibility and frequent get togethers

• 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

• Supplemental monthly health and wellness stipend