Plugins

9 jobs near Columbus, OH

Job Title: Data Engineer Quality Engineer Location: Dallas, TX(Hybrid - 3 days onsite) Job Type: Long-term Contract Work Authorization: Open - W2 opportunity Interview Process: In-person(Client ...

Data Engineer Data Quality & Validation

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer - Data Quality & Validation Location: Dallas, TX (Hybrid - 3 Days Onsite) Job Type: Long-Term Contract Employment Type: W2 Only Interview Process: In-Person Client Interview (Mandatory ...

GCP Automation Tester

Phoenix, AZ · On-site

$45.75 - $60.25/hr

Required Skills - Automation Tester+ GCP - AMEX background is preferred Strong hands-on experience in Automation Testing (Selenium + Java/TestNG/Cucumber) Experience in API testing (Postman/REST ...

We are looking for an experienced candidate on Automation Testing with GCP, Strong hands-on experience in Automation Testing (Selenium + Java/TestNG/Cucumber) @ PHOENIX, ARIZONA

Role: Automation Tester+ Google Cloud Platform Work Site: PHOENIX, ARIZONA * Required Skills - Automation Tester+ Google Cloud Platform * Strong hands-on experience in Automation Testing (Selenium ...

Mainframe Developer

Phoenix, AZ · On-site

$48.75 - $62.50/hr

We are looking for an experienced Mainframe Developer. The ideal candidate should have hands-on experience in application development, maintenance, and support, along with a solid understanding of ...

Data Engineer Quality Engineer

Plugins Inc

Dallas, TX • On-site

Other

Posted 20 days ago


Job description

Job Title: Data Engineer Quality Engineer Location: Dallas, TX(Hybrid – 3 days onsite) Job Type: Long-term Contract Work Authorization: Open - W2 opportunity Interview Process: In-person(Client interview- Mandatory) We are looking for a Data Engineer Quality Engineer to drive quality across large-scale data platforms and pipelines. This role focuses on validating batch and streaming data workflows built on AWS, Kafka, Databricks, SQL, and Python. You will work closely with data engineering, platform, and analytics teams to ensure reliable, accurate, and production-ready data systems.