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

Data Quality Automation Engineer - SQL, Python & Snowflake

  • Job type Posted on: Jul 14, 2026
  • Experience level Tavant
  • Employment type Santa Monica, California
  • 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 Data Quality Automation Engineer - SQL, Python & Snowflake roles in California.

View Salary Guide →

Job Title :

Data Quality Automation Engineer - SQL, Python & Snowflake

Job Type :

Full-time

Job Location :

Santa Monica California United States

Remote :

No

Jobcon Logo Job Description :

A leading technology company is seeking a Data Quality Automation Engineer in Santa Monica, California. The role focuses on designing and maintaining automated data quality frameworks, with responsibilities including developing SQL queries and Python automation scripts. Candidates should have strong SQL and Python skills, experience with Snowflake and Databricks, and an understanding of data quality concepts. This is a full-time position within an Agile environment. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 14, 2026

Reference Number:

14660_F3FC0CFBC34CAB4683F606ED2D02803D

Employment:

Full-time

Salary:

Not Available

City:

Santa Monica

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!

Data Quality Automation Engineer - SQL, Python & Snowflake    Apply

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

A leading technology company is seeking a Data Quality Automation Engineer in Santa Monica, California. The role focuses on designing and maintaining automated data quality frameworks, with responsibilities including developing SQL queries and Python automation scripts. Candidates should have strong SQL and Python skills, experience with Snowflake and Databricks, and an understanding of data quality concepts. This is a full-time position within an Agile environment. #J-18808-Ljbffr

Loading
Please wait..!!