About the role

Role Overview

Bandit is seeking a Senior Data Engineer / Analytics Engineer (Contract) to help architect and build the next generation of its backend data systems. This is a hands-on builder role partnering closely with the Head of Data to deliver an analytics foundation that powers new models, analyses, KPIs, and AI-driven workflows.

Responsibilities

Collaborate on and help define data architecture, tooling choices, and long-term data strategy
Build reliable ELT pipelines into Snowflake using Airbyte (including out-of-the-box and custom connectors)
Transform raw data into clean, well-modeled analytical tables using dbt
Translate business context into enriched data stores from new source tables
Create context and semantic layers to enable self-serve analytics and agentic/AI-driven use cases

Requirements

5+ years in data engineering or analytics engineering
Expert SQL skills and ability to model complex business logic
Experience making data architecture decisions and understanding tradeoffs
Ability to translate business operations/problems into data schemas
AI-oriented data engineering mindset
Experience with Snowflake, dbt, data ingestion tools such as Airbyte, and Airflow

Contract / Scheduling / Location

Fully remote
20 hours/week, 12–16 week contract
Flexible hours with availability to meet virtually ~1 day/week
$100–150/hour depending on location and experience

About Bandit

Bandit Running is a performance apparel & gear brand for goal-driven runners. The company focuses on evolving running by building innovative products, experiences, and content for the global running community, with a mission-driven approach to disruptive excellence in the sport.

Senior Data Engineer (Contract Position)

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