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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 fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAirflowETLPythonScalaSparkSQL
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