Data Engineer - Clinical Analytics

Trihealth • Cincinnati, OH

15d

About The Position

Job Overview: The Data Engineer will play a pivotal role in building & managing data pipelines and/or datasets over their life cycles by working closely with a multidisciplinary Agile team. As a Data Engineer you will assemble large, complex datasets that meet functional/non-functional business requirements for key stakeholders to ensure the enterprise has seamless access to actionable, meaningful, and well-governed data across all domains 1. Create and maintain optimal data pipelines and/or datasets architecture with a current understanding of technologies aligned to business needs 2. Perform problem solving, formulation, testing, analysis on data. Designs complex queries using structure query language 3. Adhere to standard operating procedures & coding standards set by the analytics department 4. Build relationships with data science teams and with business (data) analysts to refine their data requirements for various data and analytics initiatives and their data consumption requirements 5. Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues Job Requirements: Bachelor's Degree in Information Systems, Computer Science, Statistics, Healthcare Information Management, Engineering or related field. (Preferred) 1 - 2 years Experience with ETL/ELT & Data pipelines and/or Datasets Experience with programming languages such as Python, C# etc. (Required) 2 - 3 years Technical in Information Systems, Computer Science, Statistics, Healthcare Information Management, Engineering or a related field (Required) Up to 1 year Clinical experience in Healthcare (Required) Exposure to Relational Databases like SQL Server & Non-Relational Databases Other Epic Clarity Data Model Certification within 1 Year Required Other Python Certification Preferred Other Oracle Fusion Certification Preferred Job Responsibilities: Creates and maintains optimal data pipelines and/or datasets architecture with a current understanding of technologies aligned to business needs. Performs problem solving, formulation, testing, analysis on data. Designs complex queries using structure query language. Adheres to standard operating procedures & coding standards set by the analytics department. Builds relationships with data science teams and with business (data) analysts to refine their data requirements for various data and analytics initiatives and their data consumption requirements Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues. Working Conditions: Bending - Rarely Climbing - Rarely Concentrating - Consistently Continuous Learning - Consistently Hearing: Conversation - Frequently Hearing: Other Sounds - Occasionally Interpersonal Communication - Frequently Kneeling - Rarely Lifting

Requirements

• 1 - 2 years Experience with ETL/ELT & Data pipelines and/or Datasets
• Experience with programming languages such as Python, C# etc. (Required)
• 2 - 3 years Technical in Information Systems, Computer Science, Statistics, Healthcare Information Management, Engineering or a related field (Required)
• Up to 1 year Clinical experience in Healthcare (Required)
• Exposure to Relational Databases like SQL Server & Non-Relational Databases
• Epic Clarity Data Model Certification within 1 Year Required

Nice To Haves

• Bachelor's Degree in Information Systems, Computer Science, Statistics, Healthcare Information Management, Engineering or related field.
• Python Certification Preferred
• Oracle Fusion Certification Preferred

Responsibilities

• Creates and maintains optimal data pipelines and/or datasets architecture with a current understanding of technologies aligned to business needs.
• Performs problem solving, formulation, testing, analysis on data. Designs complex queries using structure query language.
• Adheres to standard operating procedures & coding standards set by the analytics department.
• Builds relationships with data science teams and with business (data) analysts to refine their data requirements for various data and analytics initiatives and their data consumption requirements
• Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues.

What This Job Offers

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