ETL & Data Analytics Engineer (Dataiku/Python)

Quest Oracle Community

Northern (KY)

Hybrid

USD 44,000 - 102,000

Full time

6 days ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings

Job summary

CVS Health is seeking a data engineer to build ETL workflows using Dataiku and Python to receive, manipulate, and populate data across health platforms. The role collaborates with product managers, clinical support, and designers to document requirements; you will analyze large data sets, write queries, and support testing and troubleshooting while contributing to knowledge sharing and team goals.

This full-time position offers comprehensive benefits and growth opportunities within a

Qualifications

  • 2+ years in ETL with Dataiku or Alteryx.
  • 2+ years Python experience.
  • 2+ years data engineering.
  • Strong problem solving and decision-making.
  • 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.
  • Write queries and analyze data to resolve client issues and retain the client base.
  • Investigate data sets to answer internal questions.
  • Share knowledge and best practices across the organization.
  • Participate in team meetings and collaborative projects to achieve goals.
  • Support a high-performance culture within the team.

Skills

SQL
ETL
Python
Data engineering
Team collaboration
Independent work

Education

Bachelor's Degree or equivalent years of experience

Tools

Dataiku
Alteryx

Job description

CVS Health is seeking a data engineer to build ETL workflows using Dataiku and Python to receive, manipulate, and populate data across health platforms. The role collaborates with product managers, clinical support, and designers to document requirements; you will analyze large data sets, write queries, and support testing and troubleshooting while contributing to knowledge sharing and team goals.

This full-time position offers comprehensive benefits and growth opportunities within a

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