Sr SDET Data & Platform Quality

Select Minds

  • Dallas, Texas
  • 30+ days ago
  • $55–$60 Per Hour
Want to know if you’re a fit?
Upload your resume and let our AI show you.

Skills

  • AWS Lambdaunmatched
  • Agile Programming Methodologiesunmatched
  • Amazon Simple Storage Service (S3)unmatched
  • Amazon Web Services (AWS)unmatched
  • Apache Avrounmatched
  • Application Programming Interface (API)unmatched
  • Architectural Servicesunmatched
  • Automationunmatched
  • Automation Engineeringunmatched
  • Backend as a Service (BaaS)unmatched
  • Best Practicesunmatched
  • Cloud Computingunmatched
  • Communication Skillsunmatched
  • Consultingunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Customer/Consumer Behaviorunmatched
  • Data Managementunmatched
  • Data Qualityunmatched
  • Database Extract Transform and Load (ETL)unmatched
  • Debugging Skillsunmatched
  • Distributed Computingunmatched
  • Engineeringunmatched
  • Identify Issuesunmatched
  • JSONunmatched
  • Multiplatform/Cross-Platformunmatched
  • Philosophyunmatched
  • Production Systemsunmatched
  • Profit & Lossunmatched
  • Python Programming/Scripting Languageunmatched
  • Realtime Operating Systemunmatched
  • Risk Analysisunmatched
  • Scripting (Scripting Languages)unmatched
  • Seleniumunmatched
  • Software Design for Test (SDET)unmatched
  • Software Testingunmatched
  • System Testunmatched
  • Team Playerunmatched
  • Test Automationunmatched
  • Test Caseunmatched
  • Test Strategyunmatched
  • Testingunmatched
  • User Interface/Experience (UI/UX)unmatched
  • Validation Testingunmatched
  • Wheel/Front-End Loaderunmatched

Description

Benefits:
  • Competitive compensation
  • Hybrid
  • Opportunity for advancement
Sr SDET – Data & Platform QualityLocation: Dallas, TX (Hybrid – 3 days per week in-office)
Interview Process: In-Person Interview
Locals & Non-Locals Can apply.
Role Overview We are seeking a Senior SDET to own automation quality for large-scale, data-heavy, event-driven platforms. This role focuses on backend, Kafka, and AWS data platform validation using Python-based automation frameworks. This is a hands-on engineering role, not a traditional QA position.
  • No manual testing
  • No UI / Selenium-only testing
  • No basic ETL script validation You will design and own automation frameworks that validate Kafka-driven architectures, backend services, and cloud-native data pipelines, while partnering closely with data and platform engineers. Key Responsibilities Automation & Framework Ownership
  • Design, build, and maintain Python-based test automation frameworks, not just individual test cases
  • Define reusable test libraries for validating data platforms and distributed systems
  • Drive automation standards, patterns, and best practices across teamsKafka & Event-Driven Systems Testing
  • Validate Kafka-based event streams, including:   Topic-level data validation   Producer and consumer behavior   Message schemas, payload integrity, ordering, and replay scenarios   Failure handling, retries, and dead-letter scenarios
  • Test asynchronous workflows and event propagation across services Data Platform & Backend Validation
  • Validate end-to-end data flows across distributed services and pipelines
  • Test backend APIs, service integrations, and asynchronous processing layers
  • Perform schema validation, transformation checks, data consistency, and completeness validation AWS & Cloud Data Testing
  • Test cloud-native data platforms built on AWS services such as:   S3, Glue, Redshift, Lambda (or similar services)
  • Validate ingestion, processing, storage, and downstream consumption of data
  • Debug data and automation failures across multiple cloud services CI/CD & Quality Gates
  • Embed automation into CI/CD pipelines
  • Enforce quality gates and fail pipelines on critical data or platform issues
  • Provide actionable feedback to engineering teams based on automation resultsCollaboration & Strategy
  • Work closely with data engineers, platform engineers, and architects
  • Define test strategies for event-driven and distributed data systems
  • Proactively identify quality risks and gaps in platform design Required Experience (Non-Negotiable)
  • Strong test automation engineering experience using Python
  • Hands-on Kafka testing experience (real production systems, not theoretical knowledge)
  • Proven experience testing distributed and event-driven systems
  • Solid understanding of data validation concepts, including:   Schemas and contracts   Transformations and enrichment   Data consistency, completeness, and accuracy
  • Experience working in AWS-based data platforms
  • Ability to debug and troubleshoot issues across multiple services, not just log defects
  • Engineering mindset with ownership mentality Nice to Have
  • Experience with schema registries (Avro / JSON / Protobuf) 
  • Knowledge of streaming vs batch data architectures 
  • Familiarity with observability, logging, and monitoring in distributed systems 
  • Experience working in high-volume, near-real-time data environments

Flexible work from home options available.

Compensation: $55.00 - $60.00 per hour

Numbers & Facts

LocationDallas, Texas
Salary$55–$60 Per Hour

Similar Jobs

See more jobs