Data Platform Engineer — Reliable Pipelines & Analytics

kachyng.com; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

kachyng.com is seeking a Data Platform Engineer to design and operate data infrastructure that supports trustworthy execution records and operational insight. You will own event pipelines, platform-critical datasets, and data services used for decisioning, analytics, and audit needs.

The role focuses on reliable streaming and batch architectures, schema evolution, and data quality controls to ensure dependable data for analytics and compliance use cases.

Qualifications

• 6+ years of data platform engineering experience.
• Experience designing streaming and batch processing architectures.
• Experience with schema evolution and data quality frameworks.

Responsibilities

• Design reliable event pipelines for transaction, identity, and policy telemetry.
• Own data contracts and quality controls for critical platform datasets.
• Provide robust data services for decisioning and analytics use cases.
• Support audit use cases with dependable, well-managed data infrastructure.

Skills

Data platform engineering

Streaming design

Batch processing

Schema evolution

Data quality frameworks

Job description

kachyng.com is seeking a Data Platform Engineer to design and operate data infrastructure that supports trustworthy execution records and operational insight. You will own event pipelines, platform-critical datasets, and data services used for decisioning, analytics, and audit needs.

The role focuses on reliable streaming and batch architectures, schema evolution, and data quality controls to ensure dependable data for analytics and compliance use cases.