Senior Data Engineer - Healthcare Data Warehouse & Cloud

CVS Health

Rhode Island

Hybrid

USD 83,000 - 222,000

Full time

6 days ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings
Wellness programs

Job summary

CVS Health is seeking a Senior Data Engineer to deliver high-quality data solutions in collaboration with engineering, analysts, data scientists and product teams in an agile environment. You will design and implement data warehousing solutions, supporting on-prem and cloud migrations, leveraging SQL, Python, PySpark, Databricks, and Azure to reimagine healthcare data processing.

The role focuses on processing Claims, Revenue and Medicare data from 30+ payors into the Data Warehouse, with strong

Qualifications

  • 5+ years of experience working with SQL and relational database management systems.
  • 3+ years of experience in Cloud technologies
  • 3+ years of experience in Microsoft SQL server
  • 3+ years of experience in Databricks
  • Familiarity with Azure
  • Programming and modifying code in languages like SQL, Python, and PySpark to support and implement Cloud based and on-prem data warehousing services.
  • Hands-on experience with dimensional data modeling, schema design, and data warehousing
  • Hands-on experience with troubleshooting data issues
  • Hands-on experience with various performance improvement techniques
  • Willingness to identify and implement process improvements, and best practices as well as ability to take ownership to work within a fast-paced, collaborative, and team-based support environment
  • Excellent oral and written communication skills

Skills

SQL
Cloud technologies
Python
PySpark
Data warehousing
Dimensional modeling
Communication

Education

Bachelor's degree

Tools

Microsoft SQL Server
Databricks
Azure

Job description

CVS Health is seeking a Senior Data Engineer to deliver high-quality data solutions in collaboration with engineering, analysts, data scientists and product teams in an agile environment. You will design and implement data warehousing solutions, supporting on-prem and cloud migrations, leveraging SQL, Python, PySpark, Databricks, and Azure to reimagine healthcare data processing.

The role focuses on processing Claims, Revenue and Medicare data from 30+ payors into the Data Warehouse, with strong

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