Build and scale data engineering frameworks to centralize ETL logic and metric definitions. Design scalable data solutions to solve complex business problems while collaborating across the organization.
Remote Data Engineer Salary – updated June 2026
The average salary for remote data engineer is $100,000 per year. This is based on data from 2769 job openings.
Where do you get the data from?
Data is based on 2769 job openings.
How much does a Data Engineer make?
The salary range for data engineer is anywhere between $60,000 to $180,000 per year.
Can you provide a breakdown of salary data by years of experience?
Below is a breakdown of salary data by years of experience:
| EXPERIENCE | MINIMUM SALARY | AVERAGE SALARY | MAXIMUM SALARY |
|---|---|---|---|
| Entry Level Data Engineer (0-1 years) | $60,000 | $72,500 | $85,000 |
| Mid Level Data Engineer (2-4 years) | $85,000 | $102,500 | $120,000 |
| Senior Level Data Engineer (5-9 years) | $120,000 | $135,000 | $150,000 |
| Lead Level Data Engineer (10+ years) | $150,000 | $165,000 | $180,000 |
* Data is based on 2769 job openings.
What is the salary range for remote Entry-Level Data Engineer?
The salary range for entry-level data engineer is between $60,000 and $85,000 per year.
What is the salary range for remote Senior-Level Data Engineer?
The salary range for senior-level data engineer is between $120,000 and $150,000 per year.
Can Data Engineer be fully remote?
Yes, Data Engineer positions can be fully remote. Companies such as Stitch Fix Annex, Vivian Health, EX Squared are hiring remotely for Data Engineer. Check out the latest remote Data Engineer job openings below.
Are there any remote job openings for Data Engineer?
Yes, there are 2769 remote job openings:
You will work on data pipelines and build APIs that serve data to the product. You will own the full stack of the client-facing analytics and admin tool.
Maintain and optimize business-critical data across enterprise platforms while ensuring data quality, consistency, and accuracy. Build monitoring dashboards and automate manual processes using SQL and AI-assisted tools to improve operational efficiency.
The role involves designing and operating end-to-end data solutions using Microsoft Fabric, Azure, and the Power Platform to digitize business processes. The candidate will own data architecture, BI dashboard development, and the migration of legacy on-premise systems to the cloud.
Build and maintain custom integrations and ETL processes to automate data workflows between K-12 platforms and internal systems. Monitor data flow, troubleshoot API changes, and perform quality assurance to ensure data accuracy for school operations.
The Data Engineer manages and processes data pipelines, databases, and architectures to support analytical and operational needs. Key duties include developing datasets, improving data quality, and creating reports for organizational alignment.
Develop large-scale data structures and ETL pipelines to organize and standardize data for reporting and insights. Collaborate with cross-functional teams to integrate algorithms and models into automated, scalable systems.
Build and operate data pipelines and analytics infrastructure to power customer insights and real-time space domain awareness. Collaborate with cross-functional teams to transform sensor and orbital data into actionable intelligence.
The Data Engineer builds and maintains ETL/ELT pipelines to support clinical and operational reporting within a healthcare ecosystem. They collaborate with analysts to translate data requirements into technical tasks and ensure data quality and HIPAA compliance.
Build and execute robust ETL pipelines to migrate client data from legacy systems into the Artlogic ecosystem. Contribute to internal Python/Ruby libraries and collaborate with Project Managers to ensure seamless data transitions.
