competitive salary
USA, Remote
Engineering, Data Analysis / Data Science
English
remote
about the company
Jellyfish is a new kind of marketing performance company for the platform world, where success demands a creative, multi-platform mindset. We help brands thrive, by navigating, connecting, and harnessing the platforms that drive growth. We’re more than the same logo over every door. Our unique global structure combines platform understanding with tech, media, creativity, and data expertise. We make amazing things happen at the pace the platforms demand.
diversity statement
Check out our website and our values!
your area of responsibility
Design, build, and maintain research data platforms and pipelines for analytics and data science
Collaborate with data scientists to understand needs and design solutions to acquire and aggregate data at scale to empower data scientists and the data-curious to derive actionable insights
Develop tools to monitor research data platform health and performance
Foster an environment where data scientists can assist with some data pipeline changes to facilitate their learning, growth, and appreciation for the complexities of the data
Collaborate on data flows for new, innovative feature prototypes
Perform as-needed, as-available, and/or as-interested data analyses and exploration
your profile
You have a strong interest in data platforms for analytics and data science use cases
Proven experience in data engineering, database administration, data pipeline development, or building data platforms
You have experience building scalable, cloud-based solutions for data aggregation and reporting
You have advanced SQL knowledge and experience with multiple database solutions
You are a strong programmer
You love learning new things and teaching others what you know
You have strong communication skills and enjoy working as part of a cross-functional team.
Applicants must be authorized to work for Any employer in the US.
Bonus points if you have experience with:
Standard Python libraries for data science (e.g. pandas, scikit-learn, TensorFlow).
Our engineering technology stack (Python 3, Django, Postgres, Docker, AWS).
the benefits
Discover them on our website!
