Senior Analytics Engineer
JellyfishEngineering Management company
RemoteSenior
Accel
Insight Partners
Tiger Global Management
Wing Venture Capital
Sorenson Capital
Half Court Ventures
Data & AI
About the role
TL;DR
Support Jellyfish's mission by building and maintaining data platforms and pipelines.
- •As a Senior Analytics Engineer, you will support Jellyfish's mission to deliver product innovation and trusted analytics and insights.
- •You will help build the data and AI platform that powers our internal enterprise-wide analytics, self-service BI, agentic analytics, and AI-enabled workflows.
- •Key Responsibilities Design, build, and maintain data platforms and pipelines that support analytics, data science, BI and AI across Jellyfish.
- •Lead the evolution of Jellyfish's Databricks Lakehouse platform, helping define the architecture, governance model, development patterns, and operating practices that make the platform reliable, scalable, and easy to use.
- •Be a leader in enabling enterprise-wide agentic analytics within Databricks with trusted datasets, semantic definitions, well-managed context, and well-governed agentic access.
- •Collaborate with data scientists, analysts, product managers, engineering leaders, customer success leaders, go-to-market leaders, and other stakeholders to understand analytical needs and design durable platform solutions.
- •Provide technical leadership as a senior individual contributor by setting architectural direction, raising engineering standards, mentoring teammates, and helping the team make high-quality technical decisions.
- •Requirements You have deep experience in data engineering, data platform engineering, analytics engineering, or related roles.
- •You have designed, built, and operated reliable data platforms or large-scale data pipelines in production.
- •You have strong experience with Databricks or similar lakehouse/data platform technologies, and you are excited to help make Databricks a central platform for analytics and AI.
- •You understand how to build governed, well-modeled data assets that can support BI, analytics, data science, and AI use cases.
- •You are a strong programmer, with experience building production-grade systems in Python or similar languages.
Required skills
DatabricksSQLPythondbtAirflowPandasNumPyTechnical Leadership
Nice-to-have skills
Apache KafkaApache FlinkTerraformCI/CD
Domain expertise
ai
Benefits & perks
Remote work
Tech stack
DatabricksSQLPythondbtAirflowPandasNumPyApache KafkaApache FlinkTerraformCI/CD