Backend Engineer: Data Infrastructure & Quality

Skill; New York (NY); On-site; USD 80,000 - 89,000; Full time

Job summary

Skill is seeking a Backend Engineer in New York to build and maintain core data services within a large-scale data ecosystem. You will work on data quality, observability, and reliability, designing APIs and tooling to empower data engineers and product teams.

The ideal candidate thrives in autonomous teams, has strong Java backend skills, and can own features from design through production. This role focuses on scalable backend systems and data-driven improvements across the platform.

Qualifications

• Backend engineer with Platform Engineering or large-scale data pipelines experience.
• Proficient in Java with strong systems design and data structures knowledge.
• Ability to work with stakeholders to clarify requirements and design APIs.
• Commitment to code quality, testing, and maintainable software.
• Ownership mindset from idea to production deployment.

Responsibilities

• Build and maintain backend services for key data use-cases.
• Design and implement AI integrations to advance data quality and observability.
• Develop tooling for company-wide AI development best practices.
• Create infrastructure and tools to democratize data access.
• Scale complex systems with teammates and leaders.
• Gain insights into user workflows to improve data quality and reliability.

Skills

Backend engineering

Platform Engineering

Large-scale data pipelines

Java

APIs and docs

Code quality & testing

Ownership

Tools

Kubernetes on GCP

Flyte

BigQuery

Job description

Skill is seeking a Backend Engineer in New York to build and maintain core data services within a large-scale data ecosystem. You will work on data quality, observability, and reliability, designing APIs and tooling to empower data engineers and product teams.

The ideal candidate thrives in autonomous teams, has strong Java backend skills, and can own features from design through production. This role focuses on scalable backend systems and data-driven improvements across the platform.