Data Platform Engineer: Analytics & ETL Innovator

Loop; Chicago (IL); On-site; USD 140,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) match

Paid time off

Paid holidays

Parental leave

Job summary

Loop is seeking an Analytics Engineer in our Chicago office to mature the data organization. You’ll collaborate across Engineering, Product, Design, Strategy & Operations, and AI Platform teams to design, build, and own core data models and pipelines that power internal and client analytics, enabling data-driven decisions at scale.

This is an in-person role based in Chicago with onsite expectation of 4+ days per week.

Qualifications

• 2+ years experience building analytical products (system, dashboard, models).
• Strong proficiency in SQL and Python for data transformations and automation.
• Hands-on experience with modern data stack tools (e.g., Snowflake, dbt, Dagster, Airflow, Looker).
• Excellent business communication skills to translate data insights into actionable business strategies.
• Experience with data dashboarding and visualization tools (e.g., Tableau, Looker, Superset, Mode).
• Ability to manage, optimize, and scale data infrastructure.

Responsibilities

• Own Core Data Models and ETL Pipeline: Design, build, and maintain Loop’s core data models and ETL processes.

Skills

SQL

Python

Business communication

Data dashboards

Tools

Snowflake

dbt

Dagster

Airflow

Looker

Job description

Loop is seeking an Analytics Engineer in our Chicago office to mature the data organization. You’ll collaborate across Engineering, Product, Design, Strategy & Operations, and AI Platform teams to design, build, and own core data models and pipelines that power internal and client analytics, enabling data-driven decisions at scale.

This is an in-person role based in Chicago with onsite expectation of 4+ days per week.