Analytics Engineer: Data Pipelines & Foundations

Findwork; United States; Remote; USD 164,000 - 230,000; Full time

Benefits offered by this job

Comprehensive healthcare benefits

401k with employer match

Global benefit programs

Family planning support

Mental health & coaching benefits

Job summary

Reddit is seeking a talented Analytics Engineer to join the Data Science organization. You will curate, develop, and deploy data and analytic tooling to drive Reddit’s product forward, enabling thousands of colleagues to improve user experience and growth.

The role sits at the intersection of Data Science and Data Engineering, requiring strong Python/SQL/Spark skills and experience with large-scale ETL, data modeling, and data governance.

Qualifications

• Bachelor's degree in computer science or a quantitative field is required.
• 3+ years building large-scale ETL systems in production with Python and related tech.
• Strong coding skills in Python, SQL, Spark, and Scala are expected.

Responsibilities

• Contribute to data quality, performance, reliability, and automation initiatives.
• Manage data products delivering high-quality, trustworthy data.
• Develop robust data pipelines for ingestion, processing, and transformation with engineering collaboration.
• Create data quality checks, QA, and monitoring routines.
• Build integrations across internal and external systems.

Skills

Python

SQL

Spark

Scala

Data modeling

Airflow

ETL/ELT

Data pipelines

Communication

Education

Bachelor's degree in computer science or a quant educational field

Tools

Python

SQL

Spark

Scala

Airflow

Job description

Reddit is seeking a talented Analytics Engineer to join the Data Science organization. You will curate, develop, and deploy data and analytic tooling to drive Reddit’s product forward, enabling thousands of colleagues to improve user experience and growth.

The role sits at the intersection of Data Science and Data Engineering, requiring strong Python/SQL/Spark skills and experience with large-scale ETL, data modeling, and data governance.