Data Engineer
Boston
Applications have closed
Tomorrow.io
Predict, automate, and solve your biggest weather challenges with Tomorrow.io.tomorrow.io's R&D Team is a mixture of scientists and engineers committed to generating the best and most novel data and models across all times: historical, real-time and forecast. The story just begins when the data hits our ingest and post-processing services. Every product that the user sees is the result of a pipeline of algorithms that needs to be run quickly and continuously. We are the team that builds the architecture behind the data and the models, to prepare the weather analyses, for the Product and Engineering team to serve to the masses.
We’re looking for a Data Engineer who'll be continuous learner, team player, problem solver, great collaborator, and someone driven to be a high performer. Tomorrow.io has a unique culture that will enable a fulfilling and challenging one of a kind work experience.
As a Data Engineer, You’ll:
- Work within a team to deliver and own the internal APIs and back-end weather application processes.
- Work with Product teams to ensure stories and acceptance criteria meet the needs of our customers.
- Develop a deep understanding of our systems to help facilitate troubleshooting and enable delivery of the right solutions.
- Develop and release new features quickly that meet our acceptance criteria for the platform.
- Monitor and maintain the production systems to ensure we are meeting our customer needs
- Be a team player and contribute to the success of the team and lead by example.
What you bring:
- Thrives in a fast-paced work environment
- Willing to learn new technology
- Experience with AWS
- Experience with Docker
- Experience with Python tech stack
- Experience with DevOps and running production systems
- Seeks to understand the whole of how things work beyond their functional area
- Stoked by solving customer issues
- Strong written and verbal communication skills
- Self-starter with the ability to own broad feature areas independently
- Willingness to work in a collaborative environment
Recommended but not required:
- Go experience
- Kubernetes experience
- Experience in weather
So if big data is your middle name and you have a passion for translating innovative ML models into robustly-engineered ML solutions, then this team is for you.
If you have reached this point and you are super excited but not sure you check all the boxes - we still want to speak with you! Your passion is priceless. Other things can be learned.
Proof of eligibility to work in the United States lawfully must be provided.
Anticipated salary range is $100K-$150K, subject to local market and a candidate’s skills and experience. Health, leave and other benefits included.
___________________________________________________________________________________________About Tomorrow.io:
Tomorrow.io is the world’s leading Weather Intelligence Platform™. Fully customizable to any industry impacted by the weather, customers around the world including Uber, Delta, Ford, National Grid and more use Tomorrow.io to dramatically improve operational efficiency.
Tomorrow.io was built from the ground up to help teams predict the business impact of weather, streamline team communication and action plans, improve productivity, and optimize profit margins.
Space: In case you have not heard, we are also going to space with our Operation Tomorrow Space initiative. We are building the first-of-its-kind proprietary satellites equipped with radar, and launching them into space to improve weather forecasting technology for everyone on Earth.
How we roll: We work in an “one office” environment. We believe that magic happens when people work together. Together also includes Zoom meetings, flexible hours and unlimited vacation days. Your success is achieved by your impact and deliveries and not by the hours you put in. We believe in transparency and directness, putting work before ego and empathy. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.
Tags: APIs Architecture AWS Big Data DevOps Docker Engineering Kubernetes Machine Learning ML models Python R Radar R&D
Perks/benefits: Career development Flex hours Flex vacation Health care Startup environment Unlimited paid time off
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