Design, build, and optimize scalable data pipelines for ingestion and transformation to support healthcare analytics. Collaborate with cross-functional teams to ensure data quality, traceability, and the delivery of trusted datasets.
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 2513 job openings.
Where do you get the data from?
Data is based on 2513 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 2513 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 Expleo, Dow, Lime 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 2513 remote job openings:
The role involves designing and implementing scalable Gold-layer data products on the Azure Databricks Lakehouse Platform. Responsibilities include optimizing PySpark jobs, managing CI/CD pipelines, and integrating diverse data sources to power AI and BI applications.
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Design and maintain scalable data pipelines and platforms using Azure services to ensure reliable high-volume data processing. Develop REST API integrations and implement data governance and compliance standards such as HIPAA and SOC2.
The Senior Data Engineer is responsible for designing and developing scalable ETL packages and structured data models to support business analytics. This includes managing data migrations across various ERP systems and collaborating with stakeholders to define data requirements.
Design, build, and maintain scalable data infrastructure and ingestion frameworks on the AWS cloud. Collaborate with cross-functional teams to translate business requirements into technical data solutions and optimize performance.
Design and operate the data infrastructure, including batch and real-time streaming pipelines, to power business intelligence. Collaborate with product and engineering teams to transform raw data into scalable, actionable intelligence.
