Senior Data Engineer

The Company‍

Sofar is on a mission to connect humanity to our world’s oceans. We collect data from a global network of distributed sensors to create the best marine weather forecasts. With more ocean data we help maritime customers to save fuel and reduce emissions. Our hardware and software platform gives researchers vital tools to understand the impact of climate change on commercial fisheries and coral reefs. Our goal is to provide critical ocean data and insights to anyone who lives near, or makes a living on the two-thirds of our planet that is covered by water.

The Position

We are looking for an experienced data engineer to refine and scale our weather forecast data pipeline. This pipeline combines realtime sensor readings from our worldwide fleet of ocean buoys, publicly available weather data sources, and our own proprietary forecast model into a variety of data products suitable for visualization and scientific analysis. In this role, you would be responsible for building out extensions to our current pipeline to scale and bring on board new data sources, as well as improve the reliability or existing pipeline where it supports mission-critical applications in production.

In this role, you would work alongside our software engineering team building out APIs and frontend applications that use our data, as well as domain experts in ocean science and other data scientists performing analysis on weather data. You will quickly learn that “the forecast” is a lot more complicated than it seems at first glance; our team works with multiple forecast models that each produce gigabytes of data every hour, at every location on the globe. Most of the industry-standard tools and data formats are optimized for an era of supercomputers, not cloud computing. We are looking for the right person who is up for the challenge of turning this data into something that can be indexed, filtered and queried efficiently across space and time.

Currently our stack is built with Apache Airflow, Docker & Kubernetes, Postgres/PostGIS, and AWS S3.

About You

       - Passionate about building a product with a positive impact on the world

       - 5+ years professional experience as a software engineer or data engineer

       - Strong working knowledge of Python, Docker, Airflow (or a similar data workflow tool), and cloud computing            concepts

       - Willing to learn new tools, languages, and patterns as needed to build a great product

       - A solid communicator who enjoys collaborating with other engineers, designers, PMs, and scientists

       - Excited to be be a part of a small but growing startup team

Employee Conduct

It is the responsibility of every employee to contribute to a positive work environment through cooperative and professional interactions with co-workers, customers, and vendors.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.

How to Apply

If this job aligns with your passion and experience, we would love to hear from you!

Email your resume and a short cover letter explaining why you’re excited about the open position to and we will get back to you ASAP.

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