Senior Data Engineer - Cloud & On-Prem Data Warehouse

Quest Oracle Community

Oklahoma City (OK)

On-site

USD 65,000 - 173,000

Full time

3 days ago
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Job summary

CVS Health is seeking a Senior Data Engineer to design, integrate and implement data solutions for our data warehouse, collaborating with engineering, analytics and product teams in a fast-paced environment. You will design and implement on-prem data solutions and migrations to the cloud, applying SQL, Python and PySpark to support data warehousing and processing of payer files.

Join a team focused on delivering trusted data solutions with strong ownership and collaboration.

Qualifications

  • 4+ years of experience with SQL and relational databases.
  • 2+ years in Cloud Data Engineering Platforms (AWS, GCP, Azure, Databricks, Snowflake).
  • 2+ years on-prem Data Engineering Platforms (SQL Server, Oracle, Teradata).
  • Proficient in SQL, Python and PySpark for cloud and on-prem warehousing.
  • Dimensional data modeling and schema design experience.
  • Troubleshooting data issues and performance improvements.
  • Ability to own tasks in a fast-paced, collaborative environment.
  • Excellent oral and written communication skills.

Responsibilities

  • Deliver high-quality data solutions in collaboration with engineering, analysts, data scientists and product teams.
  • Design and implement on-prem data solutions and migrations to the cloud.
  • Process payer files into the Data Warehouse.
  • Work in a fast-paced, agile environment.

Skills

SQL
Relational DBMS
Cloud Platforms
Python
PySpark
Dimensional Modeling
Data Warehousing
Troubleshooting
Communication
Ownership

Education

Bachelor's degree in CS/Engineering

Tools

Microsoft SQL Server
Oracle
Teradata
Databricks
Snowflake

Job description

CVS Health is seeking a Senior Data Engineer to design, integrate and implement data solutions for our data warehouse, collaborating with engineering, analytics and product teams in a fast-paced environment. You will design and implement on-prem data solutions and migrations to the cloud, applying SQL, Python and PySpark to support data warehousing and processing of payer files.

Join a team focused on delivering trusted data solutions with strong ownership and collaboration.

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