OpenNetworks · 11 hours ago
Data Engineer
United States
Full-time
Remote
Mid Level
3+ years expOpenNetworks is a healthcare technology platform transforming American healthcare by creating an open marketplace that connects providers and purchasers. We are seeking a technically-driven Data Engineer to build high-performance data infrastructure that supports our AI-driven healthcare solutions and marketplace insights.
Hospital & Health Care
Responsibilities
Architect and implement scalable, robust data engineering solutions that support real-time and batch processing for the OpenNetworks marketplace
Design and maintain sophisticated ETL/ELT pipelines using modern orchestration tools to move data seamlessly from various sources including claims, contracts, employer, and Machine Readable Files
Leverage dbt to build and manage a modular, version-controlled data transformation layer, applying best practices for performance and maintainability
Design and manage Slowly Changing Dimensions (SCD Type 2) to maintain accurate historical records, essential for longitudinal healthcare analysis and auditing
Establish rigorous data quality checks and automated testing frameworks to ensure the accuracy and reliability of healthcare data consumed by our AI models and business stakeholders
Collaborate closely with Data Scientists and Engineers to provide production-ready "feature-store" style data for AI/ML models
Develop data reports and visualizations to clearly communicate actionable insights to stakeholders
Create data visualizations, dashboards, and reports to communicate insights and trends
Apply software engineering principles to data engineering by implementing CI/CD pipelines for data models and infrastructure-as-code
Ensure all data engineering practices strictly adhere to healthcare regulatory standards, including HIPAA, by implementing secure data handling and encryption protocols
Continuously monitor data quality and make recommendations for data cleansing and improvement
Qualification
Required
3+ years of professional experience as a Data Engineer, with a proven track record of architecting data solutions
Expert proficiency in SQL, including the ability to write complex, highly optimized queries for large-scale datasets
Deep hands-on experience with dbt (data build tool) and modern cloud data warehouses (e.g., Snowflake, BigQuery, or Redshift)
Strong proficiency in Python for building custom data integrations and automation scripts. Typescript experience a plus
Solid understanding of data warehousing concepts, including Kimball modeling, CDC, and managing SCD Type 2 tables
Experience with AWS and familiarity with containerization (ECS)
Preferred
Experience working in the HealthTech or FinTech industries, particularly with highly regulated and sensitive data
Familiarity with data orchestration tools (e.g., Airflow, Dagster, or Prefect)
Knowledge of data governance principles and healthcare-specific compliance requirements (e.g., HIPAA)
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
Company
OpenNetworks
OpenNetworks™ envisions a future where healthcare is driven by collaboration, transparency, and innovation.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase