Datavant
Data Engineer

Full-time, Remote, US

$95k-$120k/year

- 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 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, stories and estimate effort - Create and maintain data dictionary documents, table and data lineage models and produce artifacts to support project development and communicate project information to customers

- Bachelors in Computer Science or other engineering degree equivalent - 2+ years of hands-on experience in building Data pipeline (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