Analytics & ETL Engineer (Dataiku, Python)

CVSHealth

Kentucky

On-site

USD 44,000 - 102,000

Full time

4 days ago
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Benefits offered by this job

Bonus program
Comprehensive benefits

Job summary

CVS Health is seeking a data engineer to join the Strategic Intelligence and Automation team in Kentucky. You will build ETL workflows using Dataiku and Python, manipulate data, and populate datasets for analytics and reporting.

You will collaborate with product managers, clinical support, and designers to gather requirements, test solutions, and document work, while supporting ongoing data analysis and knowledge sharing across the organization.

Qualifications

  • Bachelor's Degree or equivalent years of experience.
  • 2+ years experience in ETL work with Dataiku or Alteryx.
  • 2+ years' experience with Python and data engineering.
  • Awareness of problem solving and decision-making skills.
  • Ability to work well independently as well as in a team environment.
  • Excellent communication skills.

Responsibilities

  • Build ETL workflows using Dataiku and Python to receive, manipulate and populate data.
  • Collaborate with cross-functional teams to gather and document product requirements.
  • Support testing, troubleshooting and documenting work.
  • Investigate data sets to answer internal questions and resolve client issues.
  • Contribute to knowledge management and team initiatives.
  • Participate in team meetings and collaborative projects.

Skills

Python
SQL
Independent work
Team collaboration
Communication

Education

Bachelor's degree

Tools

Dataiku
Alteryx
Azure DevOps
Google BigQuery
Oracle

Job description

CVS Health is seeking a data engineer to join the Strategic Intelligence and Automation team in Kentucky. You will build ETL workflows using Dataiku and Python, manipulate data, and populate datasets for analytics and reporting.

You will collaborate with product managers, clinical support, and designers to gather requirements, test solutions, and document work, while supporting ongoing data analysis and knowledge sharing across the organization.

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