Remote Data Engineering Manager, Lakehouse & AI Platform

Navitus Health Solutions, LLC; United States; Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health, Dental, and Vision insurance

20 days paid time off

401K company match of up to 5%

Educational Assistance

Referral Bonus Program – up to $750!

Job summary

Navitus Health Solutions, LLC is seeking a Manager, Data Engineering to lead the design, implementation, and modernization of the organization's data platform. The ideal candidate will have extensive experience in data engineering and will manage a team to establish data architectures and integrations in a cloud-native environment.

This role requires both technical and leadership acumen, with responsibilities including leading data integration initiatives, defining enterprise standards, and ensuring data quality and governance.

The company offers competitive benefits and a flexible working environment.

Qualifications

• 10+ years of experience in Data Engineering or related fields.
• 5+ years leading Data Engineering teams.
• Experience with cloud-native data platforms.
• Advanced skills in data architecture and integration.

Responsibilities

• Lead and support organizational data integration efforts.
• Establish enterprise data architecture standards.
• Lead modernization of legacy ETL workloads into Azure Databricks.
• Define enterprise DataOps practices including CI/CD.

Skills

Data Engineering

Leadership

Data Integration

Cloud-native architecture

Azure Databricks

SQL

Data Governance

AI and Machine Learning

Education

Bachelor’s degree in computer science, information systems, or data science

Tools

SQL

Python

ETL tools

Linux

Job description

Navitus Health Solutions, LLC is seeking a Manager, Data Engineering to lead the design, implementation, and modernization of the organization's data platform. The ideal candidate will have extensive experience in data engineering and will manage a team to establish data architectures and integrations in a cloud-native environment.

This role requires both technical and leadership acumen, with responsibilities including leading data integration initiatives, defining enterprise standards, and ensuring data quality and governance.

The company offers competitive benefits and a flexible working environment.