1upHealth is powering the digital transformation of the healthcare industry with our industry leading platform. By making healthcare data easily accessible and computable, we are on a mission to improve the patient experience, improve the quality of care, and reduce the overall cost of care.
We are seeking an experienced Senior Data Engineer to join our team and play a crucial role in designing, implementing, and optimizing scalable data solutions. In this role, you will work with modern data technologies, distributed systems, and cloud platforms to build efficient, high-performance data pipelines that support analytics, AI/ML, and business intelligence initiatives.
You will:
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Design, develop, and implement robust ETL/ELT data pipelines for large-scale data ingestion, transformation, and storage.
- Ensure data quality, integrity, and governance by implementing validation techniques, data monitoring, and automated testing.
- Collaborate with cross-functional teams, including data scientists, analysts, platform engineers, and business stakeholders, to develop scalable and reusable data solutions.
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Automate deployments and testing using CI/CD pipelines with Git, Terraform, GitHub Actions, or Jenkins.
- Design and build custom data tools and abstractions to support analytics, machine learning, and real-time data processing.
- Work with DevOps and platform teams to establish efficient deployment and monitoring processes for internal and external data products.
- Develop and implement alerting, monitoring, and observability frameworks for data pipelines to ensure reliability and proactive issue resolution.
- Contribute to the data architecture and strategy, driving improvements in scalability, performance, and cost optimization.
- Stay up to date with emerging technologies and industry best practices to continuously enhance data engineering capabilities. &am