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Reddit, Inc.

Analytics Engineer

Reddit, Inc.

. Contribute to data quality, performance, reliability, and automation initiatives .

Posted 10/14/2026full-timeRemote • United StatesMid-LevelSenior💰 $164,200 - $229,990 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining large-scale ETL systems, data pipelines, and workflows, with a strong focus on data quality, automation, and collaboration across teams. Proficient in Python, SQL, and data modeling, with a proven ability to manage data products and drive strategic data initiatives.

Highest-signal resume keywords
Large-Scale ETL SystemsPython ProgrammingData Pipeline DevelopmentData Quality AssuranceData Analysis and Dashboard Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ETL SystemsData ModelingPythonSQLSparkScalaData GovernanceData WorkflowsData IngestionData Transformation
Soft Skills
Excellent CommunicationCross-Functional CollaborationIndependent WorkTeam Collaboration
Tools & Technologies
AirflowData IntegrationsData Analysis ToolsInternal Tools
Certifications & Qualifications
Bachelor's Degree in Computer Science
Industry Keywords
Data QualityData PerformanceData ReliabilityData AutomationData Foundations

Tech Stack

Tools & technologies
AirflowETLPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Contribute to data quality, performance, reliability, and automation initiatives
  • Manage a portfolio of data products delivering high-quality, trustworthy data
  • Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation
  • Collaborate with engineering to ensure data pipeline quality and reliability
  • Develop and implement data quality checks, conduct QA, and implement monitoring routines
  • Create and manage data integrations across internal and external systems
  • Create and manage internal tools and applications that streamline data analysis and reporting
  • Drive adoption of tools and applications with a focus on automation, consistency, and reliability
  • Advise data scientists, engineering managers, and leadership on data foundations
  • Communicate and shape Reddit’s data foundations roadmap and strategy

Requirements

What you’ll need
  • Bachelor's degree in computer science or a quant educational field
  • 3+ years of experience working with large-scale ETL systems in a production environment
  • Experience implementing, strategizing, and maintaining large-scale ETL systems
  • Experience building clean, maintainable code and systems; Python preferred
  • Strong programming proficiency in Python, SQL, Spark, Scala, etc.
  • Experience with data modeling, ETL and ELT concepts, and efficient data governance patterns
  • Experience manipulating massive-scale structured and unstructured data
  • Experience with data workflows such as Airflow
  • Experience with 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 for collaborating with cross-functional stakeholders at all levels
  • Ability to work independently and autonomously, as well as part of a team

Benefits

Comp & perks
  • 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
  • Equity in the form of restricted stock units
  • Potential commission depending on the position offered
  • Medical, dental, and vision insurance
  • Opportunity to opt out of AI interview recording, transcription, and summarization