Analytics Engineer - ETL & Dataiku/Python

Quest Oracle Community; Tennessee; On-site; USD 44,000 - 102,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a data engineer to build ETL workflows using Dataiku and Python, and to collaborate with product managers, clinical support, and designers to capture requirements. The role involves testing, troubleshooting, and writing queries to analyze data and resolve client issues, contributing to knowledge sharing across teams.

The position requires 2+ years in ETL with Dataiku/Alteryx, Python, and data engineering, with a bachelor's degree or equivalent experience.

Qualifications

• 2+ years experience in ETL work with Dataiku or Alteryx
• 2+ years' experience with Python
• 2+ years' experience in data engineering
• Bachelor's Degree or equivalent years of experience

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 and troubleshooting and document work
• Write queries and analyze data to resolve client issues and retain our client base
• Investigate data sets to answer internal questions
• Contribute to knowledge management and share best practices across the organization
• Participate in team meetings and collaborative projects to support goals and culture
• Assist in maintaining a high-performance culture

Skills

SQL

ETL

Python

Data Engineering

Education

Bachelor's Degree or equivalent years of experience

Tools

Dataiku

Alteryx

Azure DevOps

Job description

CVS Health is seeking a data engineer to build ETL workflows using Dataiku and Python, and to collaborate with product managers, clinical support, and designers to capture requirements. The role involves testing, troubleshooting, and writing queries to analyze data and resolve client issues, contributing to knowledge sharing across teams.

The position requires 2+ years in ETL with Dataiku/Alteryx, Python, and data engineering, with a bachelor's degree or equivalent experience.