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Analytics Engineer

Reddit

Skills

Required

  • data modeling / front-end / back-end engineering
  • ETL
  • Python
  • data workflows
  • Airflow
  • SQL
  • Spark
  • Scala

Join Reddit as an Analytics Engineer, where you will play a key role in ensuring data quality, performance, reliability, and automation. You will manage a portfolio of data products, develop and maintain data pipelines, implement data quality checks, create new data integrations, and develop tools for internal use. You will also serve as a thought partner for data scientists, engineering managers, and leadership on data foundations.

Be a key contributor and collaborator to the success of data quality, performance, reliability, and automation initiatives.

Responsibilities

  • Manage a portfolio of data products that deliver high-quality, trustworthy data, and develop and maintain robust data pipelines.
  • Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy.
  • Proven track record of cross-functional execution and collaboration

Requirements

  • Self-starter, ability to work independently and autonomously, as well as part of a team
  • Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering
  • Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen
  • 3+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable code and systems (Python preferred) in a production environment

Agentic AI-assisted development experience

  • Deep understanding of technical and functional designs for relational and MPP Databases
  • Bachelor's degree in computer science or a quant educational field
  • Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data
  • Strong programming proficiency in Python, SQL, Spark, Scala, etc
  • Experience in data analysis and dashboard design
  • USD 164,200 - 229,990

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