Remote Data Engineer Jobs (2026)
Remote Data Engineer roles are ideal for infrastructure-focused engineers who want to build scalable data systems from anywhere. These positions involve designing data pipelines, managing data lakes, and building the data infrastructure that powers ML and analytics teams.
Last updated: May 13, 2026
Latest Remote Data Engineer Jobs
View all jobsData Engineer
Principal Data Engineer
Sr/Staff Data Engineer (Remote - US)
Data Engineer (GCP) Full remote
Junior Data Engineer (CET ±2 hours)
Senior Data Engineer
Data Engineer
Junior Data Engineer Snowflake
Data Engineer
Senior Snowflake Data Engineer
Senior Data Engineer
Junior Data Engineer
Senior Data Engineer
Data Engineer (m/w/d)
Data Engineer
Senior Data Engineer - Machine Learning - GP, Remote: Colombia - Costa Rica, Fulltime
SAP Data Engineer (Azure) | Remote LATAM Only
ML / AI Data Engineer (Contract)
Senior/Principal Data Engineer
Looker Data Engineer (Contract)
Frequently Asked Questions
Is data engineering a good remote career?
Data engineering is one of the most remote-friendly tech roles, with AI jobs being 3x more likely to offer remote than non-AI positions. The work is inherently cloud-based, involving tools like Spark, Airflow, dbt, and cloud data warehouses — all of which can be used from anywhere. As AI infrastructure grows in importance and ML pipelines become more complex, data engineers with AI skills are increasingly valuable. Workers with AI skills earn approximately 25% more than peers without them.
What is the salary for remote data engineers?
Remote data engineers typically earn $130K to $220K depending on experience. Senior and staff-level data engineers at top companies can earn $220K to $350K+ in total compensation. US-based remote roles average $147K-$176K, while Western Europe ranges from $72K-$160K. Data engineers who develop MLOps and LLMOps skills can command premium compensation, as the field evolves to support AI-specific data pipelines and model training infrastructure.
What skills do remote data engineers need?
SQL is foundational (used by 50% of developers), alongside Python (47-58% of AI listings). Cloud platforms (AWS, GCP, Azure) are essential for remote work, along with Spark, Airflow, dbt, and modern data warehouse technologies. Kubernetes and Docker are increasingly important for AI-adjacent data engineering. As data engineering evolves toward supporting ML and LLM workloads, experience with vector databases, feature stores, and data quality frameworks becomes a differentiating factor.
AI Job Insights for Remote Data Engineer Jobs
Salary Range (Yearly, USD)
$160 - $310K
Median $150K from 94 listings with salary data
Top Companies Hiring
Based on recent listings shown on this page.
Common Roles
Counts reflect recent listings, not total market size.
In-Demand Skills
Derived from tags on recent listings.
Explore More AI Job Paths
Top Cities
Popular Categories
Explore More AI Job Categories
Data Engineer Jobs
Find Data Engineer positions focused on building data infrastructure for ML and AI systems.
Remote MLOps Jobs
Find remote MLOps engineer positions. Build ML infrastructure from anywhere.
Remote Data Scientist Jobs
Find remote data scientist positions. Analyze data and build models from anywhere.