Data Engineer in Test

About Prolaio Prolaio, Inc. is a digital health technology company, focused on developing medical devices and platforms for cardiovascular research and care. Our platform supports remote collection of data that may help generate insights into cardiovascular conditions and diseases. The company was created by cardiologists, cardiovascular practitioners, and data scientists specifically to address the world’s number one cause of death — cardiovascular disease. We envision a future where care teams and hospitals are more effective, the healthcare system is more efficient, researchers have greater confidence in their trials, and new drugs accelerate to market—so more patients have access to better care, improved outcomes, and healthier lives. This is precision cardiology, and we know it’s within reach. Join us on a mission to build today’s real-world insights for tomorrow’s cardiology.

Prolaio

Transforming real-world cardiac data into faster discovery today and precision care for functional cures tomorrow.

CardiologyDigital HealthPatient EngagementData ScienceHealth Data ApplicationsSoftwareRemote MonitoringHealthcare Technologyand SaaS

P

prolaio.com

51-200 employees

Technology, Information and Internet

Chicago, IL

2022

Privately Held

6.8k LinkedIn followers

Raised $25.5M

• Develop and execute comprehensive test plans, test cases, and automated test suites for data pipelines to ensure data quality, consistency, and system performance.
• Test and validate ETL/ELT processes and data workflows across Data Lake environments, confirming the accuracy of data transformations and adherence to business logic.
• Validate data ingestion, processing, and storage within scalable cloud data platforms such as BigQuery, ensuring computed data correctly reflects raw time-series biosensor inputs.
• Design, build, and maintain synthetic data generation tools and datasets that mimic real-world time-series biosensor data, enabling thorough test coverage where real patient data is limited or restricted.
• Collaborate with data engineers and data scientists to define testing requirements and ensure data accuracy throughout the entire data lifecycle.
• Conduct performance testing and benchmarking on data systems to evaluate scalability under high data loads and identify performance bottlenecks.
• Monitor and report on key performance metrics, identifying potential data anomalies, inconsistencies, or performance issues.
• Contribute to the continuous improvement of testing processes, automation frameworks, and tools used across data workflows.
• Impactful Work: You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology.
• Innovative Environment: You will be part of an organization doing something that’s never been done before.
• Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
• Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

Required

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 3+ years of experience in software testing, with a specific focus on data pipelines, Data Lake, and data warehouses.
• Strong understanding of data engineering concepts and technologies, including ETL/ELT processes, Data Lake , and cloud-based data warehouses.
• Proficiency in SQL and Python for data querying, analysis, and test automation.
• Experience working with cloud-based data platforms, particularly Google Cloud Platform (GCP) and BigQuery.
• Demonstrated experience generating synthetic data for testing purposes, including designing datasets that realistically represent production data characteristics.
• Familiarity with data testing tools and frameworks such as pytest, unittest, or TestNG.
• Strong knowledge of time-series data processing, analysis techniques, and best practices.
• Excellent problem-solving, analytical, communication, and collaboration skills.

Preferred

• Certifications in data engineering or cloud platforms (e.g., GCP Certified Data Engineer, Databricks Certified Data Engineer).
• Experience in a regulated industry (Healthcare, MedTech, or BioTech), with familiarity with data governance and regulatory compliance frameworks.
• Prior experience testing systems subject to IEC 62304 or similar SaMD quality standards.
• Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
• Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
• Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
• Time to Recharge: Generous paid time off, sick leave, and company holidays.
• Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
• Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
• Plan for the Future: 401(k) plan to help you build long-term financial security.
• Care When You Need It: Easy access to telehealth and optional supplemental coverage for life’s unexpected moments.
• Starting Salary is at $134,000.00 (Exact Compensation may vary based on skills, experience, and location)

• Medical insurance
• Dental insurance
• Vision insurance
• HSA
• FSA
• Commuter benefits
• Lifestyle spending account
• Paid time off
• Sick leave
• Company holidays
• Paid parental leave
• Caregiver leave
• Life insurance
• Short-term disability coverage
• Long-term disability coverage
• 401(k) plan
• Telehealth
• Equity
• Performance bonus