SDET - Databricks and Reporting Tool Automation

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 26 week(s)

Skills

Databricks

Job Details

Job at a Glance

  • Title: QA Engineer (SDET - Databricks and Reporting Tool Automation)

  • Type: Contract to Hire

  • Duration: 6 Months (with likely extension)

  • Openings: 2

  • Location: Blue Ash, OH (Onsite, Monday – Thursday)

Responsibilities

  • Own the test strategy, implementation, and automation for batch and streaming data pipelines on Databricks, Azure Data Explorer (ADX), and cloud data lakes.

  • Build automated tests and quality gates for data ingestion, transformation, and output validation (ADX/Delta/Parquet/SQL).

  • Integrate test automation into CI/CD pipelines.

  • Partner with data engineers, platform, and analytics teams to ensure correctness, reliability, and compliance.

  • Design and automate functional validation of Databricks transformations (modern equivalent of ETL validation).

  • Create and execute use cases for payments and transactions (CC authorization, GC authorization, purchases, modifications, domain-specific data).

  • Perform validation for data logs, reporting outputs, and PowerBI dashboards.

  • Support legacy test scripts when necessary, while driving modernization.

Qualifications

  • Proven hands-on experience with Databricks test automation, Spark, Python, and Azure.

  • Strong background in data validation for data lakes and transformations.

  • Experience with automation frameworks, functional testing, and CI/CD integration.

  • Knowledge of Kusto (ADX), SQL, and Parquet/Delta data formats.

  • Some UI automation experience is a plus (ability to learn quickly).

  • Familiarity with financial transaction/payment validations strongly preferred.

  • Excellent communication skills: ability to operate at a senior level, explain strategy, and demonstrate prior impact.

  • Senior level QA/SDET with a proven track record of delivering automation in Databricks and Azure ecosystems.

  • Quick to learn functional and technical aspects of new systems.

  • Strong communicator.

About the Client

The client is seeking a Senior QA Engineer / SDET with strong experience in data lake validation, Databricks automation, and reporting tool testing. This role supports Customer Technology, specifically Digital Platform Services and OmniChannel Payments. Contractors should expect to be in the office Monday – Thursday. The team requires individuals who can hit the ground running, with minimal training, and communicate effectively with both technical and non-technical stakeholders.

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