Lead Data Engineer with Strong Healthcare Experience. (visa independent only)

Overview

Remote
Hybrid
$50 - $60
Accepts corp to corp applications
Contract - Independent
Contract - W2
75% Travel

Skills

Cloud Computing
Amazon Redshift
Amazon S3
Analytics
Big Data
Business Intelligence
Communication
Conflict Resolution
Data Quality
Electronic Health Record (EHR)
Extract
Transform
Load
Health Care
Informatica
Optimization
Problem Solving
PySpark
Python
Reliability Engineering
SQL
Shell
Workflow

Job Details

Position Summary

The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence. This role focuses on data optimization, workflow automation, and ensuring reliable data operations in a cloud-based environment.

Minimum Qualifications

8+ years of IT experience, with 5+ years in:

Python, PySpark, and SQL for big data processing

Data lakes (Iceberg format), ETL (Informatica), and data quality

AWS services: S3, Glue, Redshift, Lambda, EMR, Airflow, Postgres

BASH/Shell scripting

Experience with healthcare data and leading data teams

Agile development experience

Strong problem-solving and communication skills

Responsibilities

Design and maintain scalable data pipelines and architectures

Lead data projects and ensure best practices

Collaborate across teams to meet data needs

Optimize data systems for analytics and reporting

Ensure data quality and system reliability in production environments

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.