Skip to main content
Loading
loadingbar
Loading, Please wait..!!

Senior Enterprise Data Engineer: Snowflake & ELT Architect

  • Job type Posted on: Jul 08, 2026
  • Experience level Peoples-Bank
  • Employment type Marietta, Ohio
  • Employment type Onsite
  • Salary Full-time

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Senior Enterprise Data Engineer: Snowflake & ELT Architect roles in Ohio.

View Salary Guide →

Job Title :

Senior Enterprise Data Engineer: Snowflake & ELT Architect

Job Type :

Full-time

Job Location :

Marietta Ohio United States

Remote :

No

Jobcon Logo Job Description :

Peoples Bank in Marietta, Ohio is seeking an Enterprise Data Engineer to design and maintain ELT pipelines, ensuring data quality and compliance. The role requires strong SQL skills and at least 5 years of experience in data engineering or analytics. The ideal candidate will work with Fivetran and Snowflake, implement medallion architectures, and collaborate with analytics teams to tailor scalable data solutions. This position contributes significantly to the organization’s data strategy and architecture. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 08, 2026

Reference Number:

14660_6E04B535B88B3A1A8E80C511C540BA3A

Employment:

Full-time

Salary:

Not Available

City:

Marietta

Job Origin:

APPCAST_CPC

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Senior Enterprise Data Engineer: Snowflake & ELT Architect    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Peoples Bank in Marietta, Ohio is seeking an Enterprise Data Engineer to design and maintain ELT pipelines, ensuring data quality and compliance. The role requires strong SQL skills and at least 5 years of experience in data engineering or analytics. The ideal candidate will work with Fivetran and Snowflake, implement medallion architectures, and collaborate with analytics teams to tailor scalable data solutions. This position contributes significantly to the organization’s data strategy and architecture. #J-18808-Ljbffr

Loading
Please wait..!!