Loopback Analytics
51 - 200 employees
Founded 2009
⚕️ Healthcare Insurance
💊 Pharmaceuticals
🧬 Biotechnology
💰 Private Equity Round on 2023-06
Healthcare Insurance • Pharmaceuticals • Biotechnology
Loopback Analytics is a company that connects health systems and life sciences to help understand the patient journey and improve access to care. They offer solutions for health system specialty pharmacies and provide modules designed by pharmacists to facilitate assessment and reporting. Loopback Analytics uses anonymized real-world patient data across the United States to help understand diagnoses, compare drug uses, and engage with therapy-specific outcomes. They focus on various therapeutic areas such as multiple sclerosis, rheumatology, and cystic fibrosis. The company also provides payor access services, aiding in payor contracting and reporting. Loopback Analytics aims to bridge gaps within healthcare by leveraging data insights for improved care delivery and patient outcomes.
Data Engineer
Job not on LinkedIn
🕒 March 29
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Loopback Analytics
51 - 200 employees
Founded 2009
⚕️ Healthcare Insurance
💊 Pharmaceuticals
🧬 Biotechnology
💰 Private Equity Round on 2023-06
Healthcare Insurance • Pharmaceuticals • Biotechnology
Loopback Analytics is a company that connects health systems and life sciences to help understand the patient journey and improve access to care. They offer solutions for health system specialty pharmacies and provide modules designed by pharmacists to facilitate assessment and reporting. Loopback Analytics uses anonymized real-world patient data across the United States to help understand diagnoses, compare drug uses, and engage with therapy-specific outcomes. They focus on various therapeutic areas such as multiple sclerosis, rheumatology, and cystic fibrosis. The company also provides payor access services, aiding in payor contracting and reporting. Loopback Analytics aims to bridge gaps within healthcare by leveraging data insights for improved care delivery and patient outcomes.
📋 Description
• Design, build, and maintain scalable data pipelines to ingest, transform, and deliver data across diverse sources and environments • Develop and manage ETL/ELT processes within cloud-based data platforms (e.g., Snowflake, Databricks) • Own and maintain data transformation logic, codebases, and supporting documentation • Model and optimize data structures within data lakes and data warehouses to support analytics and reporting use cases • Ensure data reliability, integrity, and performance to meet client and application SLA requirements • Manage evolving data ingestion formats across Health Systems, Life Sciences, and Enterprise partner ecosystems • Drive automation and continuous improvement of data workflows to reduce manual effort and increase efficiency • Implement data quality checks, monitoring, and validation processes • Collaborate with business and technical stakeholders to gather requirements and translate them into scalable data solutions • Develop and promote best practices in data engineering, data modeling, and pipeline design • Conduct data profiling and support testing efforts in partnership with QA and DevOps teams
🎯 Requirements
• 3–5 years of experience in Data Engineering, Data Integration, or a related field • Experience designing and building data pipelines and transformation workflows • Hands-on experience with cloud data platforms (Snowflake, Databricks) and cloud environments (Azure) • Strong experience with SQL and at least one programming language (e.g., Python, C#) • Experience with relational and non-relational data modeling, schema design, and performance optimization • Familiarity with data lake and data warehouse architecture
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