Analytics Engineer

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

Benefits

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

Glassdoor

3.9

Reddit is the heart of the internet, where millions of people get together to talk about any topic imaginable.

San Francisco, California, USA

https://www.redditinc.com

Distribution of Different Job Fields Receiving Sponsorship

84

Represents job field similar to this job

Engineering and Development

Product Management

Management and Executive

Creatives and Design

Sales

Accounting and Finance

Customer Service and Support

Trends of Total Sponsorships

*2026

(66)

2025

(99)

2024

(63)

Qualifications

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

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.

Required skills

Python, SQL, Apache Spark, Scala, ETL, Data modeling, Data governance, Apache Airflow, Relational and MPP databases, Data analysis, Dashboard design, Agentic AI-assisted development

Experience

3+ years