Data Platform Engineer I: Build Trusted Data Pipelines

El Toro IP Targeting; Louisville (KY); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

On-Site gym

401k plan with company contribution

PTO days

Health benefits

Office dogs in Louisville NuLu

Job summary

El Toro is hiring a Data Platform Engineer I in Louisville, KY to build data pipelines and tooling for reliable, privacy‑aware IP targeting. You will craft production Python, work with Airflow/Temporal for workflow orchestration, and contribute to a high‑growth analytics platform.

You'll collaborate with senior engineers, write tests, perform code reviews, and help shape the data stack while delivering real customer impact from day one.

Qualifications

• Foundational programming and software concepts demonstrated through projects or coursework.
• Understanding of core software concepts, APIs, version control, and testing.
• Familiarity with relational databases and basic SQL; large data exposure is a bonus.
• Desire to learn modern data platforms, pipelines, query engines, and data catalogs.
• Clear written and verbal communication skills.
• Workflow orchestration experience with Airflow, Temporal or similar is required.

Responsibilities

• Build pipelines, workflows, and tooling turning raw data into something El Toro can trust and act on.
• Write production Python from day one and develop features in Go within the team domain.
• Create unit and integration tests to ensure high-quality production code.
• Participate in code reviews and adopt shared engineering patterns.
• Develop workflow orchestration to automate service pipelines using Airflow, Temporal, or similar.
• Collaborate across teams, document processes, and engage in Agile ceremonies.

Skills

Foundational Programming

Core Fundamentals

Data Systems

Growth & Collaboration

Communication

Workflow Orchestration

Python scripting

Docker

AWS

Airflow / Temporal

SQL

Data pipelines

Tools

Docker

Airflow

Temporal

Kubernetes

AWS

Job description

El Toro is hiring a Data Platform Engineer I in Louisville, KY to build data pipelines and tooling for reliable, privacy‑aware IP targeting. You will craft production Python, work with Airflow/Temporal for workflow orchestration, and contribute to a high‑growth analytics platform.

You'll collaborate with senior engineers, write tests, perform code reviews, and help shape the data stack while delivering real customer impact from day one.