Data Engineer

Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by integrating a connected platform enabled by smart data science to help patients access the care and attention that will inform better treatments and outcomes.

We envision a future where care teams and hospitals can be more effective, the healthcare system can be more efficient, and patients have a better care experience and more fulfilling lives.

This is precision cardiology, and we know it’s within reach.

We are seeking a skilled and motivated Data Engineer to join our Data Engineering team. In this role, you will enhance our data platform, developing and optimizing data pipelines that power advanced analytics and machine learning models. You’ll work closely with data scientists, product teams, and other engineers to ensure that our data platform supports ongoing innovation. This role will report to the Lead Data Engineer in the Chicagoland or Bay Area. We would love to find someone in the Chicagoland area who can collaborate with the team in the office, but are also open to the right candidate in another location.

• Data Lake Implementation: Develop and manage data lakes on cloud platforms like Google Cloud Platform (GCP), ensuring scalability, reliability, and performance.
• Automation and Scripting: Utilize Python or other scripting languages to automate data workflows, improve operational efficiency, and support machine learning models.
• Data Pipeline Development: Use Metaflow, dbt, and other tools to transform and model raw data into a structured format for analytics and reporting.
• Security and Compliance: Ensure that all data processes adhere to security best practices, especially around PII and PHI, and maintain compliance with relevant regulatory standards.
• Collaboration: Work closely with data scientists, product teams, and engineers to align data solutions with business and product needs.
• Problem Solving: Tackle complex technical challenges and contribute to continuous improvement initiatives.

• 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.

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

• 3-5 years of experience as a Data Engineer, ML Engineer, or similar role.

• Cloud Proficiency: Strong experience with Google Cloud Platform (GCP) or other cloud platforms like AWS or Azure.

• Data Pipeline Expertise: Proven experience developing and optimizing data pipelines using modern tools and frameworks.

• Programming Skills: Proficiency in Python for data manipulation and automation.

• Data Lakes: Experience with implementing and managing data lakes.

• Communication Skills: Strong problem-solving, communication, and collaboration abilities.

• Remote Work Ability: Ability to work effectively in a distributed, remote-first environment.

• Language Proficiency: Fluent in English.

• MLOps Experience: Familiarity with MLOps and integrating machine learning models into production pipelines.

• Healthcare Experience: Previous experience in the healthcare industry

• PII/PHI Knowledge: Understanding of managing data with privacy concerns and security measures.

• Competitive Compensation: Competitive salary plus performance bonus and equity.

• Health Benefits: Medical, dental, and vision benefits with generous company contribution.

• Life Insurance: Company-provided life insurance.

• Retirement Plan: 401(k) plan.

• Paid Time Off: 13 paid company holidays, 15 vacation days and 5 sick days.

• Parental Leave: Paid parental leave.