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About the Role
We are seeking a skilled and motivated Data Engineer to enhance our data platform, developing and optimizing data pipelines that power advanced analytics and machine learning models. You will work closely with data scientists, product teams, and other engineers to ensure that our data platform supports ongoing innovation.
Responsibilities
- Develop, manage and operate data lakes on cloud platforms like Google Cloud Platform (GCP), ensuring scalability, reliability, and performance.
- Utilize Python or other scripting languages to automate data workflows, improve operational efficiency, and support machine learning models.
- Use Dagster, dbt, and other tools to transform and model raw data into a structured format for analytics and reporting.
- Work inside a regulated SDLC, ensuring all data processes adhere to security best practices, especially around PII and PHI, and maintain compliance with relevant regulatory standards.
- Work closely with data scientists, product teams, and engineers to align data solutions with business and product needs.
- Tackle complex technical challenges and contribute to continuous improvement initiatives.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
- 3-5 years of experience as a Data Engineer, ML Engineer, or similar role.
- Strong experience with Google Cloud Platform (GCP) or other cloud platforms like AWS or Azure.
- Hands-on experience with BigQuery, or with Databricks, Snowflake, Redshift or a comparable cloud warehouse.
- Experience with Dagster, Airflow, Prefect or a comparable orchestrator.
- Proficiency in Python and SQL for data manipulation and automation.
- Experience with implementing and managing data lakes.
- Strong problem-solving, communication, and collaboration abilities.
- Building ingestion for third-party or clinical data sources, such as electronic data capture systems.
- Previous experience in the healthcare or pharmaceutical industry.
- Understanding of managing data with privacy concerns and security measures.
Skills
- Python
- SQL
- Google Cloud Platform (GCP)
- AWS
- Azure
- BigQuery
- Databricks
- Snowflake
- Redshift
- Dagster
- dbt
- Airflow
- Prefect
- Data Lakes
- PII
- PHI
Location
- Chicagoland area
- Remote
Work Type
- Hybrid
- Full-time
Experience Level
- 3-5 years
Education Level
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Salary/Compensations
- $134,000.00
Benefits
- Competitive salary
- Performance bonus
- Equity
- Medical, dental, and vision plans
- HSA
- FSA
- Commuter benefits
- $1,200 annual Lifestyle Spending Account
- Generous paid time off
- Sick leave
- Company holidays
- Paid parental leave
- Caregiver leave
- Company-paid life insurance
- Short- and long-term disability coverage
- 401(k) plan
- Telehealth
- Optional supplemental coverage
About the Company
- 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 uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.
- This is precision cardiology, and we know it’s within reach.