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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Prolaio, Inc. - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $134,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Microsoft Azure, BigQuery, Cloud Computing, Computer Programming, Information Engineering, Data Infrastructure, Data Systems, Data Warehousing, EHealth, Electronic Data Capture, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Raw Data, SQL Databases, Systems Integration, Data Processing, Scripting, Google Cloud, Snowflake, Data Lakes, Information Technology, Data Pipelines, Amazon Redshift, Databricks - **Published:** August 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=67a9353ab1875600 ## About the Role * 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. * Cloud Proficiency: Strong experience with Google Cloud Platform (GCP) or other cloud platforms like AWS or Azure. * Data Warehousing: Hands-on experience with BigQuery, or with Databricks, Snowflake, Redshift or a comparable cloud warehouse. * Orchestration: Experience with Dagster, Airflow, Prefect or a comparable orchestrator. * Programming Skills: Proficiency in Python and SQL for data manipulation and automation. * Data Lakes: Experience with implementing and managing data lakes. * Communication Skills: Strong problem-solving, communication, and collaboration abilities., * Integration Experience: Building ingestion for third-party or clinical data sources, such as electronic data capture systems. * Healthcare Experience: Previous experience in the healthcare or pharmaceutical industry. * PII/PHI Knowledge: Understanding of managing data with privacy concerns and security measures. ## Description 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. The Specifics * Data Lake Implementation: Develop, manage and operate 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 Dagster, dbt, and other tools to transform and model raw data into a structured format for analytics and reporting. * Security and Compliance: 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. * 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. Why Prolaio? * 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Making Data Warehouses fast. 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