ETL & Data Analytics Engineer

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

Job summary

CVS Health is seeking a data engineer to build ETL pipelines using Dataiku and Python, handling data from multiple sources to populate data stores and support reporting and analytics initiatives.

You will collaborate with product managers, clinical support and designers to gather requirements, test and troubleshoot, and document work while helping retain clients by delivering accurate, timely data insights.

Qualifications

• 2+ years with ETL work using Dataiku or Alteryx.
• 2+ years' experience with Python.
• 2+ years' experience in data engineering.
• Ability to work independently and in a team.
• Excellent communication skills.
• Ability to work with large data sets from multiple sources.

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 issues.
• Contribute to knowledge management to share best practices across the organization.
• Participate in team meetings and collaborative projects to support goals.

Skills

SQL

Python

Dataiku

Alteryx

Data engineering

Analytical thinking

Communication

Independent worker

Education

Bachelor's Degree

Tools

Azure DevOps

Job description

CVS Health is seeking a data engineer to build ETL pipelines using Dataiku and Python, handling data from multiple sources to populate data stores and support reporting and analytics initiatives.

You will collaborate with product managers, clinical support and designers to gather requirements, test and troubleshoot, and document work while helping retain clients by delivering accurate, timely data insights.