Senior Backend Engineer - High-Load Python & Data Pipelines (Remote)

SplitMetrics; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Time off (vacation & holidays)

Professional development

Remote-first environment

Flexible schedule

Office hubs

Job summary

SplitMetrics is seeking a backend engineer to design and maintain Python-based services that handle terabytes of data daily. You will build scalable microservices, optimize data pipelines, and ensure code quality with automated tests within a remote-first environment.

The role emphasizes observability, performance tuning, and continuous improvement across CI/CD workflows, with a focus on security and best practices for high-load analytics platforms.

Qualifications

• 4+ years of Python experience building high-load, scalable systems.
• Strong SQL skills with performance tuning and optimization.
• Experience developing microservices and data pipelines for analytics solutions.
• Familiarity with CI/CD practices and GitHub workflows.

Responsibilities

• Scrape various APIs at industrial scale and manage large data volumes.
• Build backend services using Python for high-load, data-intensive systems.
• Write and review code for quality, security, and best practices across back-end components.
• Implement automated testing (unit, e2e) and participate in CI/CD processes.

Skills

Python

SQL

Data pipelines

Microservices

CI/CD

Testing

Observability

Tools

GitHub

Job description

SplitMetrics is seeking a backend engineer to design and maintain Python-based services that handle terabytes of data daily. You will build scalable microservices, optimize data pipelines, and ensure code quality with automated tests within a remote-first environment.

The role emphasizes observability, performance tuning, and continuous improvement across CI/CD workflows, with a focus on security and best practices for high-load analytics platforms.