Hybrid Enterprise ML Data Engineer

Willsfly Technologies Inc; Virginia (MN); Hybrid; 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 join our Data & Analytics team. This role designs and maintains data pipelines that support ML systems and enterprise software, collaborating with AI, analytics, and platform teams to ensure scalable, production-grade data environments.

Located in the United States with a hybrid work model in Virginia, the role requires 7–9 years of data engineering experience, a solid foundation in structured pipelines and cloud data

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 engineering

ML data systems

Cloud data engineering

SQL

Education

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

Tools

Snowflake

Databricks

Cloud platforms

Job description

Willsfly Technologies Inc is seeking an experienced ML Data Engineer to join our Data & Analytics team. This role designs and maintains data pipelines that support ML systems and enterprise software, collaborating with AI, analytics, and platform teams to ensure scalable, production-grade data environments.

Located in the United States with a hybrid work model in Virginia, the role requires 7–9 years of data engineering experience, a solid foundation in structured pipelines and cloud data