CareOregon

Data Engineer

CareOregon

full-time

Posted on:

Location Type: Remote

Location: OregonUnited States

Visit company website

Explore more

AI Apply
Apply

Salary

💰 $124,200 - $151,800 per year

About the role

  • Create, maintain and optimize data pipelines for specific use cases
  • Manage data pipelines through stages, from ingestion of data sources to consumption
  • Utilize tools and techniques to automate tasks, minimizing manual processes
  • Assist with renovation of data management infrastructure
  • Partner with Information Systems teams and data consumers to refine data requirements
  • Train data and analytics consumers on data pipelines and preparation techniques
  • Propose data ingestion, preparation, integration and operationalization techniques
  • Promote CareOregon’s data and analytics capabilities to staff and leadership

Requirements

  • Minimum 5 years’ experience in data management, RDBMs
  • Database design and development experience
  • ETL experience
  • Development utilizing tools such as Microsoft SQL Server, Snowflake and/or similar tools
  • Data warehouse technical development that encompasses the data management life cycle
  • Data management experience within the healthcare industry preferred
  • Utilization of data integration, modeling, optimization and data quality improvement processes
  • Development using Microsoft Azure products such as Data Factory, Functions, Databricks, Monitor and/or similar products
Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • AD&D insurance
  • Disability insurance
  • Health savings account
  • Flexible spending account(s)
  • Lifestyle spending account
  • Employee assistance program
  • Wellness program
  • Discounts
  • Retirement plan with employer contributions
  • PTO and Paid State Sick Time based on hours worked/scheduled hours
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data pipelinesdata managementRDBMSdatabase designETLdata warehouse developmentdata integrationdata modelingdata optimizationdata quality improvement
Soft Skills
trainingcollaborationcommunication