Remote Data Engineer Jobs: Role, Salary & Demand
A data engineer builds the pipelines, warehouses, and infrastructure that move and transform data so analysts, scientists, and products can use it reliably. Demand has surged alongside analytics and AI/ML workloads, and the work suits remote collaboration around shared data platforms.
What a Remote Data Engineer Does
- Build and maintain ETL/ELT data pipelines
- Design data warehouses and lakehouses (Snowflake, BigQuery, Databricks)
- Model data for analytics and ML consumption
- Ensure data quality, lineage, and governance
- Support analysts, scientists, and ML engineers with reliable data
Skills Employers Look For
Remote Data Engineer Salary
Senior remote data engineer roles typically pay $115k–$195k base per year in the US market. Senior remote US-market base ranges. ML-adjacent and streaming specialists trend higher.
Ranges are widely-reported US-market figures for senior levels, shown as market context. Live listing counts above are computed from remoty.work's own database.
Remote Demand for Data Engineers
Data engineering demand has grown sharply with the rise of analytics and AI/ML. Remote roles are plentiful as companies centralize data platforms that teams access from anywhere.
Right now remoty.work tracks 14 live remote data engineer listings from 10 companies. Every one is scored A–F by our intelligence engine and screened for ghost jobs .
Top-Scored Live Data Engineer Jobs
View all 14 →Frequently Asked Questions
Are remote data engineer jobs in demand?
Yes — demand has surged alongside analytics and AI/ML adoption, and centralized cloud data platforms make the role naturally remote-friendly.
What do remote data engineers earn?
Senior remote data engineering roles in the US market typically pay $115k to $195k base, with ML-adjacent and streaming specialists higher.
What is the difference between a data engineer and a data scientist?
Data engineers build the pipelines and infrastructure that make data usable; data scientists analyze that data to build models and insights. Data engineering is the more infrastructure-heavy, software-adjacent role.