INTL – Mexico – EOR – Senior QA Automation Engineer Position Available In Fulton, Georgia

Job Description Our client offers a consumer-controlled health data platform that gives your users a simple way to connect and share their health data with your health business, platform, or application. Our business customers (both health enterprises & start-ups) use our product to build and deliver consumer-centric health apps and services.

Overview:

looking for a senior QA & automation engineer to lead quality assurance initiatives for our enterprise data lake platform. This role requires a strategic mindset for establishing comprehensive testing protocols, deep expertise in both general and data quality validation, and the ability to leverage AI tools to optimize engineering impact across the team.

Opportunity:

you will have the opportunity to architect quality automation strategies for mission-critical applications and data infrastructure, while helping establish the use of AI tools to enhance engineering productivity. You will help empower other engineers to better build, monitor, and maintain high quality applications and data products that power a variety of clinical data use cases.

Culture:

o This group is very supportive of each other, collaborative, and folks are invested in helping you grow o The folks that are most successful here are typically those with the ability to learn and adapt quickly, figure out whatevers needed to deliver value, and collaborate well with others

Key Responsibilities:

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Test Automation & Integration:

architect and maintain end-to-end testing frameworks to support a variety of engineers working across various services (APIs, UI/UX, data pipelines, serverless applications) o

Testing Protocol Establishment:

define and inform best practices on maintaining quality metrics across our data and application platforms o

Data Quality and Validation:

design and implement frameworks to help profile, monitor, proactively detect issues with critical data products o

AI-leveraged Engineering:

leverage LLMs to accelerate tasks like test case generation, document creation, code review, synthetic/test data generation We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC “Know Your Rights” Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) . To learn more about how we collect, keep, and process your private information, please review

Insight Global’s Workforce Privacy Policy:

https://insightglobal.com/workforce-privacy-policy/ .

Skills and Requirements Required Qualifications:

o 5+ years in quality focused automation engineering, with a strong understanding of how to set a high bar for quality for complex applications and data systems o Self-starter and ability to drive impact with minimal high level direction o Strong programming skills in Python or node.js, and CI/CD tools o Experience with distributed systems and cloud computing (AWS, Azure, GCP) o Has worked with data-intensive systems (distributed datastores, data warehouses/lakes, big data processing)

Technical Skills:

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Programming:

Python, node.js, SQL o

Data Technologies:

Apache Spark, Kafka, Delta Lake, Databricks, Looker o

Cloud Platforms:

AWS, Azure, GCP o

Testing Tools:

pytest, Jest, great expectations o

Automation:

Jenkins, Gitlab CI, Github Actions, Apache Airflow o

Monitoring:

Datadog, Prometheus, Cloudwatch Preferred Qualifications o Experience with HIPAA or other compliance-heavy industries o Experience with infrastructure as code (Terraform, Cloudformation) o Background in data and analytics Ideal pay $15-20/hr USD (Exact compensation may vary based on several factors, including skills, experience, and education) null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.