Data Analytics & ETL Engineer (Dataiku, Python)

Quest Oracle Community; Town of Montana (WI); On-site; USD 44,000 - 102,000; Full time

Benefits offered by this job

Medical, dental and 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, handling data from multiple sources and delivering reliable datasets for product teams.

You will collaborate with product, clinical support, and design teams to document requirements, test solutions, and troubleshoot issues, while contributing to knowledge sharing and a high-performance culture across the organization.

Qualifications

• 2+ years experience in ETL with Dataiku or Alteryx.
• 2+ years' experience with Python.
• 2+ years' experience in data engineering.
• Intermediate understanding of SQL.
• 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, including product managers, clinical support, and designers, to gather and document product requirements.
• Support direct team members in testing and troubleshooting and documenting work.
• Aid in retaining our client base by researching and resolving client issues by writing queries and analyzing data.
• Answer internal questions by investigating the data sets.
• Contributes to knowledge management initiatives to ensure that knowledge and best practices are understood and shared across the organization.
• Actively contributes to team meetings, brainstorming sessions, and collaborative projects, including sharing ideas, providing feedback, and contributing to the overall goals and objectives of the team.
• Assists in maintaining our integrated high-performance culture.

Skills

SQL

ETL

Python

Data engineering

Problem solving

Teamwork

Communication

Big data

Education

Bachelor's degree

Tools

Dataiku

Alteryx

Azure DevOps

Job description

CVS Health is seeking a data engineer to build ETL workflows using Dataiku and Python, handling data from multiple sources and delivering reliable datasets for product teams.

You will collaborate with product, clinical support, and design teams to document requirements, test solutions, and troubleshoot issues, while contributing to knowledge sharing and a high-performance culture across the organization.