Analytics Engineer

Reddit

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$164,200–$229,990 / yr
Posted
13 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $197k
$112k $243k
below market most similar roles pay here above market

This role pays more than 70% of similar roles. Most pay $126,800–$211,200 — the blue band above. At the midpoint, this role pays about $197k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Reddit

Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.

Reddit currently has 89 open roles on FindRole.

Listed pay typically runs $216,700–$303,000 across 89 roles with salary data.

Most-posted roles

View all roles at Reddit

At a glance

TL;DR · Analytics Engineer

The Analytics Engineer joins the Analytics Engineering team within the Data Science organization to build a lasting data and tooling foundation. This role serves as a conduit between Data Producers and Consumers, collaborating across Consumer, Ads, and Marketing areas to curate and deploy analytic tools. Key responsibilities include managing a portfolio of data products, developing robust pipelines for ingestion and transformation, and implementing data quality checks and monitoring routines. The successful candidate will create internal applications to streamline reporting while shaping the data foundations roadmap. Required technical skills include proficiency in Python, SQL, Spark, and Scala, along with experience in data modeling, ETL/ELT patterns, and workflows like Airflow. The role involves manipulating massive-scale structured and unstructured data within relational and MPP Databases.

What you'll do

  • Develop and maintain robust data pipelines for ingestion, processing, and transformation.
  • Manage a portfolio of data products to deliver high-quality and trustworthy data.
  • Implement data quality checks, QA procedures, and automated monitoring routines.
  • Create and manage new data integrations across internal and external systems.
  • Build internal tools and applications to streamline data analysis and reporting.
  • Shape the data foundations roadmap and strategy for the organization.
  • Drive initiatives for data quality, performance, reliability, and automation.

What we're looking for

  • 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.
  • Strong programming proficiency in Python, SQL, Spark, and Scala.
  • Experience with data modeling, ETL/ELT concepts, and patterns for efficient data governance.
  • Experience with data workflows such as Airflow, and 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.
  • Agentic AI-assisted development experience.

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