Remote Senior Data Engineer - Cloud Lakehouse & AI

Navitus Health Solutions; United States; On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Health, Dental, and Vision insurance

401(k) company match

20 days paid time off

Referral Bonus Program

Job summary

Navitus Health Solutions is seeking a Data Engineer to design and implement cloud-native data platforms that support advanced analytics and AI solutions. Responsibilities include developing ETL pipelines and maintaining data governance frameworks.

The ideal candidate has over 5 years of data engineering experience, proficiency in Azure technologies, and a solid understanding of data security practices. This remote position offers substantial benefits including health insurance, paid leave, and a 401(k) match.

Qualifications

• 5+ years of experience in Data Engineering, Analytics Engineering.
• Experience in modern lake house architectures using Azure.
• Proven experience with SQL, ETL tools, and CI/CD pipelines.

Responsibilities

• Design and implement lake house architectures utilizing Azure technologies.
• Develop metadata and documentation supporting data governance.
• Support machine learning and intelligent automation initiatives.

Skills

Data Engineering

Azure Databricks

SQL

Python

ETL Development

Cloud Data Architecture

Education

Bachelor’s degree in Computer Science or related field

Master’s degree preferred

Tools

Azure Data Factory

AWS Glue

GitHub Actions

Job description

Navitus Health Solutions is seeking a Data Engineer to design and implement cloud-native data platforms that support advanced analytics and AI solutions. Responsibilities include developing ETL pipelines and maintaining data governance frameworks.

The ideal candidate has over 5 years of data engineering experience, proficiency in Azure technologies, and a solid understanding of data security practices. This remote position offers substantial benefits including health insurance, paid leave, and a 401(k) match.