Senior Data Engineer

RightsHelper

About The Position

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.

Requirements

  • 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 Haves

  • 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

Responsibilities

  • 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
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