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Data Quality Engineer

Insight Global
Hudson, OH, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
juju.com

Tech stack

Automation of Tests Microsoft Azure Data Warehousing Python (Programming Language) Selenium Freeform SQL Snowflake Backend Data Pipelines

Job description

Insight Global is looking for a fully remote Data Quality Engineer. This person will be joining a team of QA/Data Engineers to help build out an Enterprise Data Warehouse as well as lead in efforts as they transition from manual testing to automation testing. This person will be responsible for backend data testing, creating test cases and automation frameworks for data pipelines, as well as writing complex SQL queries and identifying/problem solving issues related to the manual to automation transition.

Requirements

  • 5 years of professional QA experience within Manual and Automation Testing (need close to 50/50)

  • 3 years of experience using Python

  • 3 years of experience using Selenium

  • Experience creating automation test cases and frameworks for data pipelines

  • Experience writing complex SQL queries * Azure cloud experience

  • Snowflake

  • Bachelors Degree

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on juju.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:35 min

Selecting Selenium for browser automation and testing

Benjamin Bischoff Benjamin Bischoff · Europe 2026 Virtual

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

2:06 min

Elevating the QA engineering role for complex challenges

Ondřej Gróf Ondřej Gróf · WWC Europe 2026

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · WWC 2024

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · WWC 2024

Videos

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31:15
WWC Europe 2026 • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Proactive monitoring and smoke testing in your production environment thumbnail
1:27:59
LIVE • over 5 years ago

Proactive monitoring and smoke testing in your production environment

Liam Hurrel

Developing the Backend with Stefan Lingler, CTO at Shpock thumbnail
24:02
Coffee With Developers • about 8 years ago

Developing the Backend with Stefan Lingler, CTO at Shpock

Stefan Lingler, Thomas Pamminger

How Cisco embraced a DevOps culture within its network engineering team thumbnail
39:38
LIVE • over 5 years ago

How Cisco embraced a DevOps culture within its network engineering team

Stuart Clark

Enjoying SQL data pipelines with dbt thumbnail
26:53
WWC 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

How I Built QA from Scratch in a Scaling Startup - no fluff real life story thumbnail
34:35
Europe 2026 Virtual • about 1 month ago

How I Built QA from Scratch in a Scaling Startup - no fluff real life story

Basia Karaagac

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