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QA Automation Engineer

Appiness Inc.
United States
16 days ago
Apply on www.dice.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Automation of Tests Continuous Integration Data Validation Database Queries Database Testing Job Scheduling Python (Programming Language) Apache Spark Data Lakes Pyspark Data Pipelines Databricks

Requirements

  • Strong Python and PySpark/Spark SQLdata testing experience, especially for data validation and comparison
  • Hands-on Databricks experience, including notebooks, Delta Lake, Unity Catalog, and job scheduling
  • Strong SQL skills for source-to-target data validation
  • Experience building automated data testing frameworks, not just manual QA
  • Experience with data validation such asrecord-level comparison, schema validation, count validation, data reconciliation, and column-level mismatch analysis
  • Experience testing data pipelines and validating source-to-target mappings
  • Ability to create automated test reports and investigate data discrepancies Nice-to-Have: Familiarity with Delta Lake and Unity Catalog Experience with CI/CD for data pipelines Understanding of vehicle data domains.

Apply for this position

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

Apply on www.dice.com
Prepare application

Good distractions

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

Moments

Explore playlists

2:06 min

Elevating the QA engineering role for complex challenges

Ondřej Gróf Ondřej Gróf · World Congress 2026 Europe

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

3:21 min

Automating complete quality assurance pipelines with artificial intelligence

Evelyn Haslinger · LIVE

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

Videos

See all
Empowering Retail Through Applied Machine Learning thumbnail
22:41
World Congress 2024 • about 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

AI as a Test Designer: Transforming Experience into Automated Testing thumbnail
30:46
Europe 2026 Virtual • 2 months ago

AI as a Test Designer: Transforming Experience into Automated Testing

Alisa Hrustic

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • about 2 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post thumbnail
20:43
Europe 2026 Virtual • 2 months ago

Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post

Lukas Alber

The Data Mesh as the end of the Datalake as we know it thumbnail
37:21
LIVE • over 5 years ago

The Data Mesh as the end of the Datalake as we know it

Mario Meir-Huber

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