Remote Data Engineer - Healthcare ML Pipelines & AWS

Job Title: Data Engineer
Location: Reno, NV (Remote or Hybrid)
Salary Range: $58.83-$82.37 per hour

Primary Responsibilities:

• Experience with AWS infrastructure including AWS Connect and AWS Lambda.
• Manage and optimize the movement and validation of data from an Epic EMR system to SQL databases in AWS or Azure and either from or to the Salesforce platform.
• Accountable for data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance.
• Oversee the development of novel data pipelines that integrate and normalize large data from a variety of sources to enable learning health, machine learning model development, and deployment.
• Design, direct, and implement ETL processes, including data capture, data quality, testing, and validation methods.
• Layer in instrumentation in the development process so that data pipelines can be monitored.
• Build processes and diagnostic tools to troubleshoot, maintain, and optimize engineering environments and respond to production issues.
• Provide subject matter expertise and hands-on delivery of data capture, curation, and consumption pipelines for AWS.
• Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform.
• Develop documentation, such as data dictionaries, guides, or data flow diagrams that assist staff in identifying, locating, and using the organizations data.

Incumbent Must Possess:

• Minimum of 3 years of SQL programming experience and associated SQL tools (SSIS, SSMS, SSRS, etc.).
• Experience with Visual Studio is preferred.
• At least 3 years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, No
  
  SQL, and data warehouse solutions.
• Minimum of 3 years of RDBMS experience.
• Extensive hands-on experience implementing data migration and data processing using Amazon Web Services. Includes knowledge of Amazon Connect and Amazon Lambda.
• Knowledge of medical terminology, especially ICD-10 codes, CPT codes, DRG codes, and an understanding of adjudicated claims data.
• Excellent verbal and written communication skills.

Minimum Qualifications:

• Education:
  
  Masters degree with 10 years experience preferred;
  Bachelors degree with 13 years of equivalent experience will be considered in place of masters degree requirement.
• Experience:
  
  Requires a minimum of 10 years experience with at least five (5) years working in data management, data engineering, or data architecture. Enterprise Data Warehouse development preferred;
  Requires at least five (5) years working with healthcare data; more is preferred. SQL proficiency is required.
• License(s):
  None
• Certification(s):
  Certification work related to Epic or Amazon Cloud may be required within 1 year of starting employment.
• Computer / Typing:
  Must be proficient with Microsoft Office Suite, including Outlook, PowerPoint, Excel, and Word and can use the computer to complete online learning requirements for job-specific competencies, access online forms and policies, complete online benefits enrollment, etc.

This role offers a unique opportunity to work on cutting-edge data engineering projects in the healthcare industry. If you meet the qualifications and are excited about the potential of this role, we encourage you to apply.