Nybble Group

Role Description The QA Automation Engineer is responsible for leading and accelerating automated testing initiatives for an innovative platform within the veterinary sector. The platform integrates and standardizes clinical data from multiple management systems, enabling advanced capabilities such as automated medical condition prediction using Machine Learning and LLM technologies, as well as automated insurance claim processing. This role focuses on designing, implementing, and scaling automation frameworks that validate backend APIs, frontend workflows, and end-to-end business processes. As part of an AI-first engineering team, the QA Automation Engineer will leverage modern testing practices and AI-assisted development tools to shorten feedback cycles, improve test coverage, and ensure high-quality software delivery. Success in this role means enabling faster development cycles through reliable automation, proactive quality practices, and efficient AI-enhanced testing workflows. Qualifications - Proven experience as a QA Automation Engineer with strong experience testing backend APIs and web applications. - Hands-on experience designing and maintaining automated test suites using Playwright. - Strong knowledge of automation frameworks and testing best practices. - Experience with programming or scripting languages such as JavaScript, TypeScript, or Python. - Experience testing RESTful APIs and validating backend services. - Understanding of relational databases, particularly PostgreSQL, for data validation and troubleshooting. - Experience integrating automated tests into CI/CD pipelines. - Experience using AI-assisted development tools and LLM-based workflows for testing automation. - Strong analytical and problem-solving skills with attention to detail. - Ability to work independently, identify quality risks, and implement solutions proactively. - Ability to thrive in fast-paced environments with tight delivery timelines. - Advanced English level with strong communication skills for remote collaboration. Requirements - Experience testing AI-powered applications or Machine Learning workflows. - Familiarity with API automation frameworks and testing tools beyond Playwright. - Experience with test automation architecture design and framework development. - Knowledge of cloud environments, DevOps practices, and observability tools. - Experience working with complex data platforms or healthcare-related systems. - Familiarity with AI agents, LLM evaluation, or AI-assisted QA practices. - Strong interest in AI-first engineering methodologies and productivity optimization. Benefits - Competitive compensation and benefits package. - Opportunities for growth and professional development. - Comprehensive leave policies, including PTO, sick leave, and study leave. - Access to employee discount programs. - Monthly connectivity allowance.

Role Description We are seeking an ETL Specialist who will play a key role in ensuring the secure, accurate, and efficient transfer of digital files from various veterinary Practice Information Management Systems (PIMS) to business partners. This role requires strong technical skills, a structured and detail-oriented approach, and the ability to work effectively across multiple file sources, tools, and environments. Success in this role means consistently delivering complete and high-quality attachment sets, maintaining efficient and standardized workflows, identifying data issues proactively, and collaborating closely with cross-functional teams. This is a full-time, remote position ideal for someone who thrives in technical environments and enjoys problem-solving. Responsibilities - Collect, extract, and migrate attachment files referenced within veterinary PIMS systems. - Retrieve files from various sources, including on-premises PIMS servers, email-delivered download links, and internal applications. - Perform file conversions, naming normalization, and file-type modifications as needed. - Validate file integrity, identify missing or inaccessible files, and communicate limitations to relevant stakeholders. - Use scripting tools (PowerShell or Python) to build or modify custom automation workflows. - Apply ELT (Extract, Load, Transform) concepts to streamline file handling and transformation processes. - Execute secure file transfers using SFTP, HTTPS, and token-based authentication. - Utilize cloud storage platforms, remote-access utilities, and data-management tools to retrieve and deliver files. Requirements - Experience working with Windows and macOS environments. - Proficiency in PowerShell and/or Python for scripting and automation. - Understanding of ELT concepts and their practical application. - Experience with cloud services such as: - Microsoft Azure - Microsoft Storage Explorer - Amazon S3 - Familiarity with remote-access and data transfer tools including TeamViewer, AnyDesk, Cloudberry, FileZilla, AzCopy, and Remote Desktop. - Proficiency with productivity and communication tools: Microsoft Teams, Office, Outlook, Jira. - Familiarity with database browsing tools such as DBeaver. - Basic understanding of secure data transfer protocols. Nice to Have - Previous experience in veterinary PIMS data handling or data migration. - Experience with file-based extraction from legacy systems. - Exposure to cloud-based storage workflows or enterprise data migration pipelines. - Familiarity with generative AI tools for documentation, automation, or workflow enhancement. - Experience working in fast-paced or mid-sized technical environments. Benefits - Competitive compensation and benefits package. - Opportunities for growth and professional development/continuous learning. - Flexible work arrangements. - Comprehensive leave policies, including PTO & holidays. - Monthly connectivity allowance.

Role Description We are seeking a highly analytical and detail-oriented Senior Data Quality Analyst to join our growing team. In this role, you will be responsible for ensuring the accuracy, consistency, and integrity of complex datasets across multiple systems and sources. In addition to solving complex data problems, you will help define scalable data quality practices, validation approaches, and workflows that improve data reliability and enhance data quality across the organization. This is a hands-on technical role requiring a balance of technical expertise, problem-solving, and leadership. The Senior Data Quality Analyst will be responsible for: - Coaching and mentoring other analysts - Defining operational standards - Helping develop and implement scalable, cross-functional workflows for the data quality function in partnership with product, development, and veterinary medical teams Qualifications - 5+ years of experience in data analysis, data quality, or data management roles within technology, data-driven, or health-related industries - Bachelor’s degree in Data Science, Information Systems, Computer Science, or a related field preferred - Demonstrated experience mentoring analysts and leading complex data investigations or cross-system data quality initiatives - Deep understanding of ETL/ELT pipelines, data modeling, and cloud-based data ecosystems - Demonstrated experience normalizing and mapping complex datasets from diverse systems and formats - Strong expertise in SQL, data profiling, and root-cause analysis - Proven ability to implement automation, AI, or machine learning tools to improve data quality processes and efficiency - Excellent analytical and problem-solving skills, with exceptional attention to detail - Experience in establishing and monitoring data quality metrics and KPIs - Strong collaboration, communication, and documentation skills - Experience investigating complex data discrepancies across multiple systems or pipelines - Meticulous and methodical approach to data integrity and quality assurance - Proactive, innovative mindset exhibiting technical curiosity - Collaborative team player who thrives in a fast-paced, small company environment - Comfortable owning complex problems while guiding others in solving them - Familiarity or interest in the animal health industry is a plus Requirements - Lead and drive in-depth research and analysis to identify and remediate inconsistencies, gaps, and anomalies across datasets - Collaborate with data engineers, product managers, and domain experts to validate data integrity and alignment with business logic - Lead cross-system data mapping and normalization initiatives - Develop and maintain documentation, master data dictionaries, and data lineage documentation - Define, design, and oversee data quality validation rules, metrics, and monitoring processes - Measure and monitor key data quality metrics and performance indicators - Design automated and manual validation checks to ensure data accuracy, completeness, and consistency - Partner with development teams to integrate validation into data pipelines and transformation workflows - Design and optimize scalable workflows for data intake, mapping, normalization, and validation - Identify opportunities to improve data quality processes through automation and tooling - Apply AI and machine learning tools to enhance anomaly detection, mapping accuracy, and validation processes - Utilize AI-based solutions to identify and predict data inconsistencies - Collaborate with engineering teams to integrate automated validation and enrichment into production pipelines Benefits - Competitive compensation and benefits package - Opportunities for growth and professional development - Comprehensive leave policies, including PTO, sick leave, and study leave - Access to employee discount programs - Monthly connectivity allowance