Health Data ETL & Analytics Specialist

Quest Oracle Community; Missouri; 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 with Dataiku and Python, collaborating with product managers and clinical support to gather requirements. You will troubleshoot, write queries, and analyze data to support client satisfaction. A strong focus on knowledge sharing and teamwork is required.

The role emphasizes data-driven problem solving, working with large datasets from multiple sources, and contributing to a comprehensive benefits package for full-time colleagues.

Qualifications

• 2+ years in ETL work with Dataiku or Alteryx
• 2+ years' experience with Python
• 2+ years' experience in data engineering
• Intermediate SQL
• Strong problem-solving and 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
• Analyze data to resolve client issues by writing queries
• Investigate data sets to answer internal questions
• Contribute to knowledge management and share best practices
• Participate in team meetings and collaborative projects
• Support a high-performance culture

Skills

SQL

ETL

Dataiku

Python

Data engineering

Problem solving

Team work

Communication

Education

Bachelor's degree or equivalent

Tools

Dataiku

Alteryx

Azure DevOps

Job description

CVS Health is seeking a data engineer to build ETL workflows with Dataiku and Python, collaborating with product managers and clinical support to gather requirements. You will troubleshoot, write queries, and analyze data to support client satisfaction. A strong focus on knowledge sharing and teamwork is required.

The role emphasizes data-driven problem solving, working with large datasets from multiple sources, and contributing to a comprehensive benefits package for full-time colleagues.