IT Lead Data Engineer - Digital Technology Services

Overview:

This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.

This is a remote position.

Responsibilities:

A day in the life of a Digital Technology Services (DTS) Lead Data Engineer with Hackensack Meridian Health includes:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to extract, transform, and load (ETL) principles and business goals.
• Solve complex data problems to deliver insights that help our ministry achieve our goals.
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
• Work with translators to identify business problems that can be addressed by analytics.
• Work on data management platforms (e.g., Azure, Hadoop, Bluemix).
• Perform data collection, structuring and cleaning for an end-to-end analytics use case.
• Create and deploy robust data pipelines.
• Understand intricacies of IT architecture, security & governance and have the ability to maintain quality data.
• Aware of data ecosystems and various data sources that can be leveraged.
• Other duties and/or projects as assigned.

Qualifications:

Education, Knowledge, Skills and Abilities Required:

• Bachelor's degree.
• Minimum of 4-7 years of experience working in data engineering or architecture role.
• SQL and data analysis.
• Programming (i.e.,Python or Scala).
• Development in cloud computing services.
• Building data pipelines.
• Database development experience using Hadoop or BigQuery.
• Data warehouse maintenance.
• Work with BI tools (e.g., Tableau, PowerBI).
• Familiarity with machine learning.
• Data governance.
• Work with structured and unstructured data.
• Attention to detail, critical thinking, intellectually curious, and desire to learn.
• Relationship building and ability to work with technical and non-technical stakeholders.
• Requirements translation.
• Agile work process.
• Excellent written and verbal communication skills.
• Proficient computer skills including but not limited to Microsoft Office and Google Suite platforms.

Education, Knowledge, Skills and Abilities Preferred:

• Masters / PhD.
• Minimum of 8+ years of experience working in data engineering or architecture role.
• Prior experience in a healthcare domain.
• Prior Google Cloud Platform experience.
• Prior full-stack experience.
• Experience in the Computer Science, Management Information Systems, Engineering Field.

Licenses and Certifications Preferred:

• Google Cloud Platform (GCP) certification(s).