Remote Data Engineer: Build Scalable Data Pipelines

Stack Exchange Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-first culture

Global Hiring HUBs in US/Canada/UK/Ger

Job summary

Stack Overflow is hiring a Data Engineer to design and deliver data capabilities supporting new features. You will work with software engineers and product partners to convert requirements into robust data models and scalable pipelines.

You will help shape data organization, processing changes, and resilient pipelines that power analytics and product features. Join a remote-first team with global Hiring HUBs and a strong culture of collaboration and impact.

Qualifications

• Experience designing data models and pipelines for production use.
• Proficiency in SQL, Python, and PySpark for data processing.
• Experience with cloud data platforms and Databricks.
• Ability to design robust data contracts and interfaces.

Responsibilities

• Embed with engineering teams to translate requirements into data models, pipeline designs, and interfaces.
• Design, build, and operate production data pipelines using SQL, Python, PySpark and Databricks.
• Create ingestion and transformation workflows delivering data to application services.
• Design tenant-aware data flows respecting boundaries, permissions, and regional rules.
• Ensure pipelines are resilient with incremental processing and safe retry mechanisms.

Skills

SQL

Python

PySpark

Databricks

APIs

Data modeling

Education

Bachelor's degree in CS or related field

Tools

Databricks

Job description

Stack Overflow is hiring a Data Engineer to design and deliver data capabilities supporting new features. You will work with software engineers and product partners to convert requirements into robust data models and scalable pipelines.

You will help shape data organization, processing changes, and resilient pipelines that power analytics and product features. Join a remote-first team with global Hiring HUBs and a strong culture of collaboration and impact.