Remote Senior ML Data Engineer for Enterprise Pipelines

Willsfly Technologies Inc; Seattle (WA); On-site; USD 135,000 - 170,000; Full time

Benefits offered by this job

Medical coverage

Performance incentive

Learning support

Certification reimbursement

Job summary

Willsfly Technologies Inc is seeking an experienced ML Data Engineer to contribute to enterprise-scale software and product systems across architecture, engineering, delivery, and operational quality. The role sits within the Data & Analytics department, focused on data pipelines, model-ready data, and scalable platform readiness.

The candidate will collaborate with AI, analytics, and platform teams to improve data systems, support enterprise environments, and advance observability and

Qualifications

• 7+ years of experience in data engineering, ML data systems, or enterprise analytics environments.
• Strong knowledge of structured pipelines, transformation logic, and platform-scale data flow.
• Experience supporting model-ready or analytics-heavy product environments.
• Ability to work inside structured enterprise teams.

Responsibilities

• Design and maintain data pipelines that support ML systems and enterprise software environments.
• Support reliable data engineering across ingestion, feature flow, and scalable platform readiness.
• Collaborate with AI, analytics, and platform teams to improve model-ready enterprise data systems.
• Contribute to observability, quality, and performance across production-grade data layers.
• Improve maintainability and scale within enterprise ML data environments.

Skills

Data pipelines

ML data systems

Enterprise analytics

Cross-functional collaboration

Education

Bachelor’s or Master’s in Data Engineering/CS

Tools

Snowflake

Databricks

Cloud data platforms

Job description

Willsfly Technologies Inc is seeking an experienced ML Data Engineer to contribute to enterprise-scale software and product systems across architecture, engineering, delivery, and operational quality. The role sits within the Data & Analytics department, focused on data pipelines, model-ready data, and scalable platform readiness.

The candidate will collaborate with AI, analytics, and platform teams to improve data systems, support enterprise environments, and advance observability and