Data Engineer

Key Skills

Apache Cassandra, AWS, Data Lake, Data pipelines, Data science techniques, Design, DevOps, Docker, Infrastructure as code, Kubernetes-K8s, Management, RabbitMQ, REDIS, REST API

Job Description

Geli is committed to helping make the planet a cleaner, better place to live, both with our software products and through our everyday actions.

Imagine a world where there is less reliance on non-renewable power, where you source your electricity from your neighbors rather than from power stations hundreds of miles away and software makes the best possible use of the solar, wind, and battery storage available. This is our vision.

We are looking for enthusiastic colleagues that are not only fluent in technology, but also share our vision of a world running on 100% renewable energy.

Geli is looking for an enthusiastic Data Engineer, who is eager to work at the forefront of the rapidly expanding energy storage industry. As part of our Data Science team, you will develop data workflows to support both our production systems and design tools. Data is at the core of all Geli’s products, so this position will give you plenty of opportunities to contribute to our platform.

Responsibilities

• Build and maintain robust data pipelines.
• Collaborate with data scientists to understand data requirements of the machine learning and optimization models.
• Collaborate with software engineers and DevOps to develop appropriate technical solutions.
• Design and implement best practice approaches to data infrastructure, management and governance.

Required Experience and Skills

• A solid foundation in computer science and software engineering principles, including object-oriented programming.
• At least 2+ years of work experience as Data Engineer
• Experience writing clean, maintainable, efficient and thoroughly tested python (3.6+) code.
• Experience developing data pipelines and implementing data engineering best practices.
• Ability to work collaboratively with all levels and teams at Geli.
• Self-sufficient and proactive approach.
• Willingness to learn and adapt in the rapidly growing energy industry.

Desired Experience and Skills

• Knowledge of energy storage applications and renewable energy
• Familiarity with machine learning and optimization algorithms and concepts
• Docker, Kubernetes, AWS
• Airflow
• RabbitMQ, AMQP, Kafka
• Data Lakes and Data Warehouses
• PostgreSQL, Django ORM, Cassandra, Timescale DB, Redis, S3
• RestAPIs

BENEFITS OF WORKING AT GELI

• Competitive salary commensurate with experience
• Competitive benefits offerings
• Conveniently accessible location in downtown San Francisco
• Flexible work-from-home-office opportunities, as determined by the position and job duties
• Cigna and Kaiser options - available by region
• Cigna Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Cigna medical plan
• Company-paid Basic Life, AD&D, short-term, and long-term disability insurance
• Voluntary benefits include: critical illness, hospital indemnity, accident insurance
• 401(k) with a 4% employer match
• 3 weeks of paid Parental Leave
• Sick time- 72 hours frontloaded per calendar year
• Vacation time (Flex time), and 13 Paid Holidays
• Health Advocate wellness and concierge services
• Wellness programs with our benefits providers
• Commuter benefits
• EAP
• Bereavement leave- 5 paid days