Data Engineer(UNPAID)
Remote · United States
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Estimated pay
Estimate$125K–$224K/yr
Estimate — the employer hasn't published pay.
Based on 53 similar mid-level Data Engineer jobs in United States that show pay. The range is the middle half of their posted pay (25th to 75th percentile), not an offer — ask the employer for the real range.
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At a glance
- Education
- Master's
Skills mentioned
About the role
Data Engineer – Holiday World
Location: Remote (USA) — Office in Colorado Springs, CO
Type: Internship / Early-Career Role
Company: Holiday World / Holiday Channel
About Holiday World
Holiday World is a digital media and entertainment company building the world’s first ALL THINGS
HOLIDAY platform. With 110K+ users, we are rapidly scaling to deliver intelligent, data-powered
experiences to a global audience.
About the Role
We are seeking a Data Engineer to help build and optimize Holiday World’s data infrastructure. You will
create pipelines, manage data flows, and ensure clean, reliable datasets for analytics and AI systems.
What You’ll Do
• Build and maintain ETL/ELT data pipelines
• Work with structured & unstructured datasets
• Create data ingestion and transformation workflows
• Integrate APIs and external data sources
• Improve data quality, validation, and monitoring
• Support dashboards, reporting, and ML/AI pipelines
• Optimize warehouse, pipeline, and cloud performance
• Contribute to data governance & documentation
What You’ll Bring
• Strong Python & SQL
• Familiarity with BigQuery, Snowflake, PostgreSQL
• Experience with ETL/ELT frameworks or custom pipelines
• Understanding of APIs & cloud environments (GCP preferred)
• Ability to optimize data workflows
• Strong debugging & documentation skills
• Ability to work independently in a fast-paced startup
What Helps You Stand Out
• Experience with Airflow / Prefect / dbt
• Knowledge of Kafka or real-time pipelines
• ML pipeline or feature store exposure
- Understanding of data governance & security
• Docker or CI/CD workflow familiarity
Why Join Us
• Build foundational systems for a platform with 110K+ users
• High-ownership, caring, execution-driven culture
• Remote-first flexibility
• Growth opportunities across engineering, AI & analytics
• F-1 OPT sponsorship available
Originally posted on Himalayas