Senior Analytics Engineer: Data Modeling & Quality

Jellyfish; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Jellyfish seeks a Senior Analytics Engineer to turn our data platform into a consistent, well-modeled foundation for analytics, product development, and customer insights. You’ll sit between raw data and its consumers, defining durable models, improving data quality, and ensuring important business concepts have consistent meaning across dashboards and APIs.

You’ll collaborate with product, engineering, and analytics teams to build scalable models, establish data contracts, and enable teams with

Qualifications

• Strong analytical and modeling skills with a data-driven mindset.
• Experience transforming raw data into reliable, scalable models.
• Proven ability to define and document semantic definitions and data contracts.

Responsibilities

• Design and maintain analytical data models (facts, dimensions, metrics).
• Build and mature transformation frameworks using dbt or equivalent tools.
• Implement automated data quality checks and lineage.
• Ensure consistent metric definitions across dashboards and APIs.
• Empower engineers and analysts with clear data docs and examples.

Skills

SQL Fluency

Analytics Engineering

Data modeling fundamentals

Data quality mindset

Collaborative translator

Pragmatic problem solver

Tools

dbt

Databricks

Delta Lake

OpenMetadata

Job description

Jellyfish seeks a Senior Analytics Engineer to turn our data platform into a consistent, well-modeled foundation for analytics, product development, and customer insights. You’ll sit between raw data and its consumers, defining durable models, improving data quality, and ensuring important business concepts have consistent meaning across dashboards and APIs.

You’ll collaborate with product, engineering, and analytics teams to build scalable models, establish data contracts, and enable teams with