Remote Senior Data Engineer

Summary

We are looking for a hands-on Senior Data Engineer with experience building scalable ETL and data platforms in modern cloud environments.

In this role, you will help design and implement the next generation of our data pipelines, enabling our platform to process and analyze growing volumes of ticketing, market, and consumer data.

Our existing pipelines contain significant domain expertise and business logic that power our analytics platform. You will work to translate and evolve this logic into a scalable, maintainable architecture using modern engineering practices.

This is a high-impact role with significant ownership over how data moves through our platform and supports the machine learning systems that drive our products.

Job Function

Design and implement the next generation of our core data pipelines

Translate existing pipeline logic into a clean, maintainable architecture

Develop data pipelines in Python using modern best practices

Improve pipeline observability, logging, and failure recovery

Work with AWS services such as S3, Lambda, ECS, RDS, and/or Redshift

Design and implement data validation, monitoring, and alerting

Collaborate closely with leadership to define the future data architecture

Document pipeline design and operational workflows

Our Tech Stack

Python

Apache Airflow

AWS (S3, ECS, Lambda, RDS, Redshift)

Docker

PostgreSQL

What Success Looks Like

By the end of the engagement, you will have helped us:

Deliver the next generation of our core ETL pipelines with a scalable and maintainable architecture

Implement robust data validation, monitoring and observability across the data platform

Enhance pipeline reliability, performance and operational visibility

Required Experience

7+ years of software or data engineering experience

Proven experience designing and building ETL/data pipelines from scratch

Strong expertise with Python for data engineering

Deep familiarity with AWS data infrastructure

Experience building production-grade pipelines with logging, monitoring, and error handling

Nice to Have

Experience evolving existing data pipelines into scalable, production-grade data platforms

Experience designing data quality / validation frameworks

Familiarity with data observability and SLAs

Experience with analytics or sports data

Experience working in startup or small team environments

Why This Role Is Interesting

High ownership and architectural influence

Work directly with engineering leadership

Small team with fast decision making

Potential to convert to a full-time leadership role

Job Type: Remote, Full-Time, Permanent