Data Infrastructure Engineer (Remote) Jobs 2026 | High-Paying Remote Data Engineer Opportunity | Earn $140K–$180K/Year
Main Keyword: Data Infrastructure Engineer (Remote)
If you’re searching for a high-paying remote data engineering job, this is an excellent opportunity to advance your career. Hired is recruiting a Data Infrastructure Engineer (Remote) for one of its clients. This full-time remote job allows professionals to work from anywhere while earning a competitive annual salary between $140,000 and $180,000.
As a Data Infrastructure Engineer, you will design, build, and maintain scalable data infrastructure that powers business intelligence, analytics, and decision-making. This role is ideal for experienced professionals who enjoy solving complex data challenges, optimizing performance, and working with modern cloud technologies.
Job Details
- Position: Data Infrastructure Engineer (Remote)
- Company: Hired
- Location: Remote (Work from Anywhere)
- Job Type: Full-Time
- Salary: $140K – $180K per year
Role Overview
The selected candidate will develop and maintain reliable data pipelines capable of processing large-scale datasets efficiently. You will work closely with software engineers, data scientists, analysts, and business teams to deliver high-quality data solutions that support strategic business decisions.
This position offers the opportunity to work with cutting-edge technologies in cloud computing, big data, and data engineering while contributing to innovative software development projects.
Key Responsibilities
- Design, build, and optimize scalable ETL/ELT data pipelines.
- Develop and maintain enterprise-grade data warehouses and data lakes.
- Ensure data quality, integrity, availability, and security.
- Monitor pipeline performance and resolve technical issues.
- Collaborate with cross-functional teams to improve data accessibility.
- Document architecture, standards, and engineering processes.
- Support analytics and business intelligence initiatives.
Required Skills
Successful candidates should have experience with:
- SQL and database management
- Relational and NoSQL databases
- ETL/ELT frameworks such as Airflow and Apache Spark
- Data modeling and warehouse architecture
- Cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP)
- Performance optimization and scalable data infrastructure
- Strong analytical and problem-solving skills
