Research Data Engineer

Children's Healthcare of Atlanta • Brookhaven, GA

1d

About The Position

The Research Data Engineer will support the analysis, design, and implementation of the data management lifecycle, including data ingestion, integration, warehousing, data mart design, and information delivery for research data assets. This role will aid in the development and implementation of efficient data systems to support research innovation.

Requirements

• 2 years of experience in data engineering, business intelligence, database administration, and/or data warehousing
• 2 years of experience using software such as SQL Server Reporting Services
• 5 years of experience using SQL
• Experience performing root cause analysis on internal and external data and processes to support specific business questions and identify opportunities for improvement
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience manipulating, processing, and extracting value from large, disconnected datasets
• Bachelor’s degree in computer science, computer/software engineering, information technology, healthcare informatics, or related fields. Individuals with a background in healthcare may be considered if data engineering experience is outstanding.
• Strong analytic skills related to working with structured and unstructured datasets
• Critical thinking and creative problem-solving skills
• Strong communication, presentation, and organizational skills
• Highly proficient in SQL
• Exposure or experience in the use of statistical tools
• Ability to work with relational SQL and NoSQL databases
• Ability to work with data integration tools
• Ability to navigate through infrastructure framework and terminologies
• Awareness of cloud vendors and services
• Ability to work with and integrate APIs and streaming data services
• Knowledge of and ability to various software development processes (e.g. agile, waterfall)
• Familiarity with electronic health records and financial systems

Nice To Haves

• Experience in a healthcare environment
• Degree in computer science, informatics, information systems, or another quantitative field
• Understanding of Epic’s clinical data model and experience with querying and supporting Clarity and Caboodle databases
• Certification as Epic Clarity and/or Caboodle Administrator Certification

Responsibilities

• Collaborates with providers and other clinical and research subject matter experts, data analysts, and data scientists to understand/identify the opportunities to develop well-defined, integrated, re-usable data sets that empower analytics.
• Supports the development of certified, trusted, and governed data assets and make them accessible to data analysts as appropriate.
• Performs data modeling by evaluating structured and unstructured data and determines the most appropriate schema for new data warehouse components.
• Builds processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Identifies, designs, and implements internal process improvements: automating manual processes and optimizing data delivery.
• Codifies reusable data access patterns to speed up time to insights.
• Makes recommendations about platform adoption, including technology integrations, application servers, libraries, and frameworks.
• Builds automated, scalable, test-driven ELT pipelines.
• Utilizes software development and release management practices.
• Collaborates with other data engineers, DevOps engineers, and architects to ensure research data assets are developed and documented in compliance with operational and infrastructure standards.
• Works independently and effectively managing time across multiple priorities and projects.
• Participates in a shared production on-call support model.
• Incorporates best practices and standards and well as creates and maintains a sustainable knowledgebase of technical and design documentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level