Senior Data Engineer: Cloud Data Warehousing & Analytics

CVS Health

Iowa

Hybrid

USD 83,000 - 222,000

Full time

7 days ago
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Benefits offered by this job

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

Job summary

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions by collaborating across engineering, analytics, data science, and product teams.

You will design, integrate, and implement on-premise data systems and support migrations to the cloud, working with SQL, Python, PySpark, Databricks, and Azure to build a scalable data warehouse for Claims, Revenue, and healthcare data.

Qualifications

  • 5+ years of experience with SQL and relational DBMS.
  • 3+ years in cloud technologies.
  • 3+ years in Microsoft SQL Server.
  • 3+ years in Databricks.
  • Familiarity with Azure.
  • Programming in SQL, Python, PySpark for data warehousing.
  • Hands-on data modeling and schema design.
  • Hands-on data issue troubleshooting.
  • Experience with performance improvement techniques.
  • Ability to drive process improvements in a fast-paced team.
  • Excellent oral and written communication skills.

Responsibilities

  • Deliver high-quality modern data solutions.
  • Collaborate with engineering, analysts, data scientists, and product teams.
  • Design, integrate, and implement data solutions on-premise and in cloud migrations.
  • Support 30+ payors data into Data Warehouse.
  • Work in a fast-paced, collaborative, and team-based environment.

Skills

SQL
Relational DBMS
Cloud technologies
MS SQL Server
Databricks
Azure
Python
PySpark
Data warehousing
Data modeling
Troubleshooting
Performance optimization
Communication

Education

Bachelor's degree

Job description

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions by collaborating across engineering, analytics, data science, and product teams.

You will design, integrate, and implement on-premise data systems and support migrations to the cloud, working with SQL, Python, PySpark, Databricks, and Azure to build a scalable data warehouse for Claims, Revenue, and healthcare data.

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