Data Engineer

March 8

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Apply Now

Receive Emails with Similar Jobs

The Wound Pros LLC

WebsiteLinkedInAll Job Openings

The Wound Pros LLC is a company specializing in superior wound management services for long-term care facilities. They provide comprehensive wound care services that include expert wound care, advanced technology, and state-of-the-art wound care dressings. The Wound Pros utilizes artificial intelligence and machine learning to improve wound care outcomes. Their offerings include remote vitals monitoring, a proprietary automatic wound measuring app, and mobile vascular screenings. The company is also a Medicare Part B biller and ensures timely delivery of wound care supplies through their WP Supply system. With a multidisciplinary approach, The Wound Pros is dedicated to treating chronic non-healing wounds, embracing both high-tech and high-touch methodologies to enhance patient outcomes in long-term care settings.

Wound Care • Supply chain • PCR Testing • Skin Substitutes • TeleHealth

501 - 1000 employees

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

📋 Description

• Design and implement scalable, multi-cloud data pipelines (AWS and Azure). • Lead the development and maintenance of data lakehouses, warehouses, and lake architectures. • Build and optimize end-to-end data pipelines using dbt, Airflow, Dagster, or similar orchestration tools. • Leverage Databricks to manage large-scale data processing, batch/streaming jobs, and ML model deployments. • Implement and optimize Delta Lake or Iceberg for fast, ACID-compliant transactions and scalable data analytics. • Partner with DevOps to ensure robust monitoring, logging, and alerting solutions are in place. • Develop and enforce data governance policies, standards, and frameworks. • Ensure compliance with healthcare data regulations (e.g., HIPAA). • Investigate and resolve data-related issues, working closely with DevOps, Data Science, and Software Engineering teams.

🎯 Requirements

• 5+ years in data engineering roles with a proven record of leading complex data projects in both AWS and Azure environments. • Advanced proficiency in AWS (RDS, Lambda, Glue, Redshift, S3) and Azure (Data Factory, ADLS). • Hands-on experience with Databricks, Spark, and modern table formats (Delta, Iceberg). • Strong background in building and maintaining pipelines using dbt, Airflow, Dagster, or similar tools. • Expert-level skills in SQL and Python for data processing, transformation, and automation. • Proficiency with Git for version control and CI/CD workflows. • Deep understanding of data modeling (3NF, star schema) and database design principles. • Familiarity with HIPAA or similar regulatory frameworks, ensuring data privacy and security. • Excellent verbal and written communication skills, with the ability to work effectively in cross-functional teams.