Data Engineer

Prolaio • Chicago, IL

12d • $134,000 • Hybrid

About The Position

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. 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.

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.

Nice To Haves

• 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.

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. Ensure that 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.

Benefits

• Competitive salary
• performance bonus
• equity
• Medical, dental, and vision plans with multiple options and strong company contributions.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level