Data Engineer III: PySpark, Azure & Databricks (Remote)

Nexaminds; United States; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Stock options

Remote work options

Flexible working hours

Benefits above the law

Job summary

Nexaminds is seeking a Data Engineer III with healthcare domain experience to join our AI-driven team. You will collaborate with product, software, and clinical leaders to expose data products for internal and external clients across the country.

With 5+ years in healthcare data, you will help build a unified data model, ensure data quality, and enable ad-hoc access to large datasets using Databricks and cloud platforms (AWS, Azure, GCP).

Qualifications

• Bachelor's degree required in CS/IT or related field.
• Master's in healthcare-related field preferred.
• Strong DB concepts and data modeling.
• Proficiency in Python, Spark, and SQL.
• Experience with SDLC practices and documentation.
• Healthcare domain data experience.
• Databricks and cloud platform familiarity.
• Strong written and oral communication skills.

Responsibilities

• Produce high-quality, widely available data models.
• Scope and implement new entities for unified data model.
• Collaborate with product teams and clinical leaders.
• Identify data quality issues and resolve promptly.
• Extract and integrate data from diverse sources.
• Build and support an analytics platform for ad-hoc access.
• Model data and metadata for ML/AI.
• Support integrations from acquisitions.

Skills

Data engineering

Python

Spark

SQL

SDLC

Databricks

Azure

AWS

GCP

Healthcare data

Education

Bachelor's degree in computer science or related field

Master's degree in healthcare-related field preferred

Tools

Databricks

Microsoft Azure

AWS

GCP

Job description

Nexaminds is seeking a Data Engineer III with healthcare domain experience to join our AI-driven team. You will collaborate with product, software, and clinical leaders to expose data products for internal and external clients across the country.

With 5+ years in healthcare data, you will help build a unified data model, ensure data quality, and enable ad-hoc access to large datasets using Databricks and cloud platforms (AWS, Azure, GCP).