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Analytics Engineer

164 200 – 229 990 $в год
RedditWorldwideУдалённоот 3 лет
PythonSQLETLAirflowSparkData PipelinesData ModelingELTScalaData Quality

Описание

Reddit is hiring a remote Analytics Engineer to build and maintain data pipelines, data quality checks, and internal analytics tooling. The role collaborates with data science and engineering teams across consumer, ads, and marketing areas. It emphasizes scalable ETL and ELT systems, data integrations, and reliable data products.

Responsibilities

  • Be a key contributor and collaborator to the success of data quality, performance, reliability, and automation initiatives
  • Manage a portfolio of data products that deliver high-quality, trustworthy data
  • Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation
  • Work closely with engineering to ensure the quality and reliability of these data pipelines
  • Develop and implement data quality checks, conduct QA and implement monitoring routines
  • Create and manage new data integrations across internal and external systems
  • Create tools and applications for internal use that streamline data analysis and reporting
  • Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability
  • Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit

Requirements

  • Bachelor's degree in computer science or a quant educational field
  • 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
  • Strong programming proficiency in Python, SQL, Spark, Scala, etc.
  • Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance
  • Experience with manipulating massive-scale structured and unstructured data
  • Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering
  • Experience in data analysis and dashboard design
  • Deep understanding of technical and functional designs for relational and MPP Databases
  • Proven track record of cross-functional execution and collaboration
  • Agentic AI-assisted development experience
  • Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen
  • Self-starter, ability to work independently and autonomously, as well as part of a team

We offer

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave
  • Base salary range for this position is: $164,200-$229,990 USD
  • This job is eligible to receive equity in the form of restricted stock units
  • Depending on the position offered, it may also be eligible to receive a commission
  • Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave

Hiring process

  • In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI)
  • You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews
  • During the interview, we will collect Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us
  • We will use this information to evaluate your application for employment or an independent contractor role, as applicable
  • We will not sell your personal information or disclose it to any third party for their marketing purposes
  • We will delete any recording of your interview promptly after making a hiring decision