Senior Data Engineer

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November 22

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Opala

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Healthcare Insurance • SaaS • API

Opala is a company that specializes in providing software solutions for the healthcare industry, focusing primarily on healthcare payers such as health plans and pharmacy benefit managers. The company aims to transform data into a competitive advantage by improving data quality and providing insights to enhance revenue growth, decrease expenses, and improve patient outcomes. Opala's solutions streamline workflows, enhance administrative efficiency, and identify care gaps. With a strong focus on data security and reliability, Opala offers scalable and automated solutions tailored for healthcare providers. Additionally, they provide APIs through their Developer Toolkit for seamless integration with third-party applications, helping healthcare organizations achieve better patient matching and real-time benefits tracking.

11 - 50 employees

⚕️ Healthcare Insurance

☁️ SaaS

🔌 API

📋 Description

• Build and optimize scalable end-to-end data pipelines for ingestion, transformation, and delivery • Design and develop data models and warehouse structures to support analytics and reporting • Operationalize data-driven solutions, including advanced analytics and predictive models • Create high-quality datasets for business intelligence, machine learning, and experimentation • Implement data quality, lineage, and observability best practices across data workflows • Maintain and improve internal tools and automation frameworks for data operations • Integrate new data sources, including clinical systems, healthcare standards, vendor feeds, and real-time streams • Contribute to CI/CD workflows, infrastructure automation, and cloud-based data architecture • Support all software development lifecycle activities following industry best practices • Research and integrate design strategies, specifications, and user requirements into data solutions • Conduct complex investigations and testing for data systems and workflows • Participate in special projects as needed • Provide technical guidance to the data engineering team through reviews and infrastructure support • Troubleshoot complex data and application issues, ensuring reliability and performance

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related technical discipline (or equivalent experience) • 7+ years overall experience in data engineering or related fields • 5+ years building and managing data pipelines and workflows • 5+ years designing and managing relational and non-relational data systems • Experience with cloud platforms and distributed data environments • Strong understanding of data modeling, performance optimization, and reliability • Experience supporting advanced analytics or machine learning workflows • Familiarity with data integration from diverse sources, including healthcare systems and standards for data representation and communication

🏖️ Benefits

• medical, dental, vision, life and AD&D insurance • EAP • short-term and long-term disability • 16 days PTO • 8 paid holidays • fully paid holiday closure • parental and family medical leave • 401k • stock options • annual bonuses and salary increases based on merit