Senior Software Engineer, Data Products

Jellyfish is the backbone for elite engineering organizations, and we are looking for a Senior Software Engineer to join our team and turn our rich data into high impact features that solve real problems for our customers. You’ll leverage existing platform capabilities while acting as a critical internal customer, providing feedback that shapes the roadmap of our core data platform.

Responsibilities:

• You’ll join a small, highly collaborative team that works together to define questions for user research, experiment with internal data, and produce prototypes to validate ideas. You’ll engage with internal and external users, and have the opportunity to engage in all phases of product development
• Your work will primarily involve Python, Databricks, and Postgres, with occasional excursions into SQL. You’ll develop deep knowledge of the data in our catalogue, and help set priorities for new data sources. You’ll partner with a data scientist and another software engineer to try out data transformations that result in insightful and useful metrics
• You’ll work closely with our platform teams as they build the pipelines, components, and APIs we’ll rely on. You’ll write requirements docs and proposals, and engage in synchronous collaboration with the teams building our core data pipelines. You care about being a thoughtful and communicative partner for the platform teams

Requirements:

• Solid, hands-on production experience with Python
• Experience with SQL and data transformation concepts
• Comfortable working in Postgres and in modern data warehouses, ideally Databricks
• Ability to thrive on cross-functional teams
• Access to user research and critical thinking about solving problems
• Ability to identify quick ways to test hypotheses and break apart complex projects into manageable pieces
• Act as an internal customer for platform teams
• Provide high-quality feedback that shapes the roadmap and improves the overall product ecosystem
• Use AI tools effectively and eager to experiment with new ways of working
• Authorized to work for any employer in the US