| Company | Datavant |
| Job title | Data Engineer |
| Job location | Remote – United States |
| Type | Full Time |
Responsibilities:
- Create and maintain ELT/ETL processes for existing and new systems.
- Collaborate with development and business teams to understand requirements and define source system data flows
- Develop and maintain ETL/ETL specifications for data integration development
- Define and deliver consistent data modeling and data architecture standards, methodologies, guidelines, and techniques
- Document, implement, and maintain the data pipeline architecture and related business processes
- Serve as a source of knowledge of industry practices and processes.
- Participate in the development of enterprise standards and guidelines for data model quality and accuracy
- Audit project-level data model quality deliverables to ensure that practices and standards are met
- Analyze information and data requirements and understand the effects of data inconsistencies
- Identify inefficiencies in current architecture and processes and communicate solutions in a manner that gets support from the teams involved
- Perform cost and sizing estimates for projects
- Collaborate with the project coordinator and the rest of the agile team to identify epics, and stories and estimate effort
- Create and maintain data dictionary documents, tables, and data lineage models and produce artifacts to support project development and communicate project information to customers
Requirements & Skills:
- Bachelors in Computer Science or other engineering degree equivalent
- 2+ years of hands-on experience in building Data pipelines (ETL/ELT) in a cloud platform
- Master of SQL and Python Languages
- Experience with using Airflow
Bonus Points if you have:
- Healthcare data experience
- Knowledge of clinical systems (e.g. Cerner, Epic, Meditech, etc.) and standard Acute/Ambulatory workflows.
- Preferred AWS Cloud Practitioner or above certification
