20 publicaciones de empleo destacadas de data science en remote (¡Están contratando!)

We're looking for an experienced SDET to join a team building and testing large-scale data platforms within a Benefits domain. You'll work closely with Engineers, Product Managers, QA Engineers, Data Engineers, and Technical Managers to ensure high-quality, reliably automated releases — supporting a system that runs millions of automated tests per year, fully integrated into CI/CD pipelines.

What you'll do:

Analyze front-end and back-end systems for quality and reliability
Design and deploy automated testing at scale
Build and execute automated test cases to ensure robust, reliable service pipelines
Perform integration testing across systems and interfaces (APIs, databases, flat files)
Partner with engineering teams on requirements and technical design reviews to bake automation into new features from the start
Evaluate and evolve existing data test automation frameworks
Recommend and implement modern automation tools and techniques
Maintain and improve automated tests within CI/CD pipelines
Champion quality ownership across the team
Enable fast, direct feedback loops on every code submission

What we're looking for:

BS in Computer Science or equivalent practical experience
4+ years as an SDET or in software development, using C#, Python, or Go
Strong grasp of Object-Oriented Programming
Comfortable working across Windows and Linux
Experience with a major cloud platform (Azure, AWS, or GCP)
Hands-on experience building and maintaining automated test frameworks
Performance testing experience (JMeter, Locust, Gatling, or K6)
Experience spotting quality issues in data collection, storage, and processing
Solid experience with relational databases (SQL Server, MySQL, Postgres, Oracle, MariaDB)
Experience with streaming platforms (Kafka, RabbitMQ, Pub/Sub)
Strong Git workflow experience
CI/CD platform experience (Azure DevOps, Jenkins, CircleCI, GitLab, Codefresh, Rundeck)
Root Cause Analysis and SLA/incident management experience
Experience debugging and parsing data pipelines
Solid QA methodology foundation: functional, performance, regression, black-box, white-box testing
A genuine passion for learning and clearly explaining technical concepts

Nice to have:

Healthcare domain knowledge — especially EDI, NCPDP, and transaction processing in pharmacy/PBM contexts
Experience in HIPAA-, PCI-, or other high-security coding environments
Open source contribution history

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