Job description
Data Platform Engineer
Job Title: Data Platform Engineer
Location: Remote, USA
Job Type: Full-Time
Experience Required: 5 to 8 years
Eligibility: Male/Female both can apply
Role Description
We are looking for a Data Platform Engineer to build and improve the underlying data infrastructure, services, and operational capabilities that power analytics, reporting, and machine learning use cases. In this role, you will focus on the technical platform side of data, including scalability, orchestration, storage patterns, reliability, and engineering standards. You will collaborate with data engineers, analysts, software teams, and platform stakeholders to ensure that the data environment is robust, efficient, and ready for growing business demands. This role is ideal for someone who enjoys building long-term technical foundations for data-driven organizations.
Key Responsibilities
Build and improve data platform infrastructure and services
Support orchestration, storage, and reliability of data systems
Standardize data engineering environments and workflows
Improve performance and scalability of data infrastructure
Work with cross-functional teams on platform requirements
Troubleshoot platform issues affecting analytics workflows
Maintain data platform documentation and standards
Required Skills
Data platform engineering
Pipeline and orchestration awareness
Scalability thinking
Troubleshooting
Performance optimization
Documentation
Platform reliability
Cross-team collaboration
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.