Dynatron Software, Inc. · 1 day ago
QA Automation Engineer (Data)
United States
Full-time
Remote
Mid, Senior Level
$30K/yr - $32K/yr
6+ years expDynatron Software, Inc. is transforming the automotive service industry with intelligent SaaS solutions. They are seeking a highly skilled QA Automation Engineer to lead automated and manual testing efforts across their analytics and data engineering ecosystem, ensuring the reliability and quality of data workflows.
Big DataSoftwareInformation TechnologyAnalyticsBusiness Intelligence
Responsibilities
Design, develop, and maintain automated test frameworks for data pipelines and ETL workflows
Build reusable test components for Snowflake, Databricks, ADF, Airflow, streaming pipelines, and more
Automate schema validation, regression testing, backfill testing, and data contract checks
Implement automated monitors for stream quality, lag, CDC correctness, and consistency
Create, execute, and maintain detailed test cases, test plans, and regression suites for data enhancements
Validate data accuracy, completeness, and integrity across ingestion, transformation, and downstream layers
Develop SQL-based validation scripts to compare source vs. target datasets
Perform root-cause analysis for data inconsistencies and work closely with engineering teams to resolve issues
Partner with Data Engineers, Analysts, and Product teams to understand transformation logic and business rules
Participate in sprint ceremonies including requirement reviews, estimations, and deployment validations
Monitor pipeline execution, identify defects early, and verify fixes through structured retesting
Drive QA best practices across multiple data environments
Create documentation, reusable assets, and frameworks that elevate overall data quality discipline
Qualification
Required
6-10+ years of QA Automation experience in data-intensive or analytics-driven environments
Strong proficiency in SQL for data validation, profiling, and regression testing
Hands-on experience with Python for automation scripting and data validation
Extensive experience testing ETL/ELT pipelines and cloud-based data workflows
Deep understanding of QA methodologies, test planning, defect lifecycle management, and automation principles
Experience with CI/CD pipelines, Git-based workflows, and automated execution environments
Strong analytical and troubleshooting skills for identifying data quality issues
Excellent written and verbal communication skills
Hands-on experience with Snowflake and at least one test automation framework/tool
Preferred
Experience with Databricks, ADF, AWS Glue, BigQuery, Redshift, or similar data platforms
Exposure to streaming technologies such as Kafka, Kinesis, or Debezium
Familiarity with metadata & lineage tools and dbt tests
Experience with Airflow, dbt, Fivetran, or other orchestration platforms
Experience with Python-based automation frameworks (pytest, unittest, Behave)
Hands-on familiarity with: Selenium (workflow/UI triggers), Postman/Insomnia (API testing), JMeter/Locust (performance testing), Robot Framework, Great Expectations or equivalent data quality frameworks, Jira/XRay, TestRail, or similar test management systems
Benefits
India Gazetted Holidays
24 days of PTO
Company
Dynatron Software, Inc.
At Dynatron Software, we help automotive service departments increase revenue and profitability with our suite of automotive fixed operations data analytics software, comparative insights, and expert coaching.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Leigh Silver
Chief Executive Officer
Tom Ottman
CTO
Recent News
Company data provided by crunchbase