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# Senior ETL & AI/ML Test Automation Engineer

- **Company:** Siri InfoSolutions Inc
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Cloud Computing, Computer Programming, Data Validation, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Database Testing, Python (Programming Language), Machine Learning, Metadata, Azure Machine Learning, SQL Databases, Data Streaming, Workflow Management Systems, Freeform SQL, Enterprise Software Applications, Performance Testing, Feature Engineering, Apache Spark, Change Data Capture, Backend, Data Lakes, Pyspark, Uipath, Integration Tests, Machine Learning Operations, Data Pipelines, Api Management, Databricks
- **Published:** July 26, 2026
- **Apply:** https://www.careerjet.com/jobad/usa6889cbec77f7ee5f6ec20650bfcd06c

## About the Role

6+ years of experience in ETL/Data Testing.
3+ years of experience testing Databricks or Spark-based platforms.
Hands-on experience in AI/ML Model Testing or MLOps validation.
Strong coding experience in Python and SQL. Education
Bachelor's degree

## Description

Must Have Technical/Functional Skills:
Senior ETL & AI/ML Test Automation Engineer
Must Have Technical/Functional Skills
ETL & Data Testing
Validate end-to-end ETL/ELT pipelines across enterprise data platforms.
Perform Source-to-Target validation and reconciliation testing.
Validate data transformations, aggregations, business rules, and lineage.
Execute data quality checks on large-scale structured and semi-structured datasets.
Perform schema, metadata, and Delta Lake validations.
Write complex SQL queries for backend validation and data integrity testing.
Validate CDC (Change Data Capture) and incremental data loading processes.
Test batch and streaming data pipelines.
Databricks Testing
Validate Databricks notebooks, Workflows, Jobs, Delta Live Tables, and Unity Catalog implementations.
Test Bronze, Silver, and Gold layer data transformations.
Verify workflow orchestration and dependency handling across Databricks jobs.
Perform performance validation of Spark and PySpark transformations.
Validate data quality frameworks implemented in Databricks.
AI/ML Testing
Validate AI/ML model integrations within enterprise applications.
Verify model scoring results and prediction outputs.
Perform data drift, schema drift, and feature validation testing.
Validate feature engineering pipelines and training datasets.
Execute model input/output verification against expected business outcomes.
Validate explainability, traceability, and auditability requirements.
Test model deployment workflows integrated through MLflow, Databricks ML, Azure ML, or similar platforms.
Validate GenAI/RAG workflows, prompt-response accuracy, and grounding mechanisms where applicable.
Integration Testing
Perform end-to-end integration testing across:
o Databricks
o Data warehouses
o APIs
o AI/ML services
o Cloud platforms
o Downstream reporting systems
Validate data flow between source systems, data lakes, ML models, and consuming applications.
Perform contract testing and API validation.
Test Automation
Design and develop automation frameworks for:
o ETL testing
o API testing
o Data validation
o ML model validation
Build reusable test utilities using Python.
Integrate automated tests into CI/CD pipelines.
Develop automated quality gates for deployment validation.
Generate automated execution reports and test metrics., Role: Senior AI Automation Engineer Location: Irving, TX Work Type: Onsite Job Type: Contract Skills: AI-Enabled Automation, Cloud & Platform Services, Python, UiPath Experie…

 + 17 hours ago


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