Director, Data Engineering

Job not on LinkedIn

🕒 October 20

🐊 Florida – Remote

🐊 Florida – Remote

💵 $163k - $190k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Healogics, LLC.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

🏥 Healthcare

⚕️ Healthcare Insurance

🔬 Science

Healthcare • Healthcare Insurance • Science

Healogics, LLC. is the nation's leading provider of advanced wound care, with a mission to 'Find. Treat. Heal®'. The company creates and shares wound expertise, serving patients who need advanced wound treatment through a network of over 600 hospital-based Wound Care Centers across the country. Healogics specializes in treating a variety of chronic wounds, helping over 300,000 patients annually through its specialty-trained wound care physicians and advanced treatment technologies. The company is committed to advancing the science of wound care through research and partnerships, aiming to improve patient outcomes and healing times. With a dedication to wound care, Healogics has treated nearly 4 million wounds over its 25-year history, offering hope to individuals with hard-to-heal wounds.

📋 Description

• Lead the Data Engineering team through technical direction, coaching, prioritization, performance management, and delivery accountability • Own the architecture, reliability, performance, and ongoing support of enterprise data warehouses and platforms • Maintain SQL Server, ETL, OLAP cube, SSRS reporting, integration, and business-dependency knowledge • Lead Databricks design and implementation with an implementation partner and assume ownership of its architecture, operations, performance, security, governance, reliability, and evolution • Evaluate architecture, review pipelines and models, troubleshoot complex issues, and guide implementation decisions • Design and oversee enterprise data models for reporting, analytics, artificial intelligence, and operational decision-making • Establish and enforce standards for engineering, architecture, documentation, testing, deployment, monitoring, data quality, security, and production support • Partner with executives and business leaders to translate needs into data solutions and prioritize work • Collaborate with analytics, artificial intelligence, application, integration, cybersecurity, and infrastructure teams • Manage vendors and implementation partners, including architecture alignment, delivery accountability, documentation, budget management, and internal support • Perform other duties as required

🎯 Requirements

• Bachelor’s degree in computer science, information systems, or a related field; equivalent experience may be considered • 10+ years of data engineering, data architecture, or business intelligence experience, including 5+ years in leadership • Significant hands-on experience architecting and implementing enterprise data solutions on Databricks • Experience supporting and modernizing SQL Server data warehouses, ETL processes, OLAP cubes, and SSRS • Experience designing enterprise, dimensional, and analytical data models • Databricks experience including architecture, data engineering, platform design, performance, security, governance, and operations • Strong SQL Server and legacy data warehouse knowledge • Strong data architecture, data modeling, integration, data quality, and governance capabilities • Hands-on technical leadership across data pipelines, models, platform performance, and complex issue resolution • Ability to lead and develop technical teams and manage vendors and implementation partners • Ability to translate business needs into scalable data solutions • Strong executive communication and ability to prioritize work based on business value, risk, dependencies, and capacity • Healthcare or regulated data experience preferred

🏖️ Benefits

• Meaningful work supporting patients and changing patients’ lives • Compensation for employee service • Internal application through Workday’s “Jobs Hub” for current employees

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