ETL & Data Analytics Engineer (Dataiku/Python)

Quest Oracle Community; New York (NY); On-site; USD 44,000 - 102,000; Full time

Job summary

CVS Health is seeking a Data Engineer to build ETL workflows using Dataiku and Python, receiving and manipulating data to populate data pipelines. You will collaborate with product managers, clinical support, and designers to gather requirements and document them.

The role requires 2+ years in ETL and data engineering, strong SQL and Python skills, and the ability to work with large datasets from multiple sources. Full-time position, with a comprehensive benefits package.

Qualifications

• Bachelor's Degree or equivalent years of experience.
• 2+ years of ETL work with Dataiku or Alteryx.
• 2+ years' experience in data engineering.
• 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 product managers, clinical support, and designers to gather and document product requirements.
• Support testing, troubleshooting and documentation of work.
• Write queries and analyze data to resolve client issues and retain the client base.
• Investigate data sets to answer internal questions.
• Contribute to knowledge management and share best practices.

Skills

SQL

ETL

Python

Data engineering

Teamwork

Communication

Education

Bachelor's Degree

Tools

Dataiku

Alteryx

Azure DevOps

BigQuery

Oracle

Job description

CVS Health is seeking a Data Engineer to build ETL workflows using Dataiku and Python, receiving and manipulating data to populate data pipelines. You will collaborate with product managers, clinical support, and designers to gather requirements and document them.

The role requires 2+ years in ETL and data engineering, strong SQL and Python skills, and the ability to work with large datasets from multiple sources. Full-time position, with a comprehensive benefits package.