Data Integration Engineer

January 29

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

💵 $80k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Loopback Analytics

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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.

Population Analytics • Evidence-Based Models • Post-Acute Care Coordination • Medication Adherence • Community-Based Services

51 - 200 employees

Founded 2009

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🧬 Biotechnology

💰 Private Equity Round on 2023-06

📋 Description

• Manage evolving data ingestion formats across Health Systems, Life Science, and Enterprise Partner environments. • Own and maintain the codebase and documentation for data transformations from source systems into existing data pipelines. • Develop and sequence jobs and processes to load, transform, and manage data within the data lake and data warehouse. • Maintain and enhance the Loopback data model, ensuring codebase reliability to meet client/application SLA requirements. • Design and implement scalable, reliable data engineering pipelines to process large datasets across diverse sources and analytics use cases. • Drive internal process improvements by automating manual tasks and optimizing data delivery pipelines. • Identify and implement solutions to improve data reliability, efficiency, and quality. • Develop, promote, and enforce best practices in data integration and engineering. • Collaborate with business stakeholders to understand use cases, capture business rules, and align on solutions that address business challenges. • Conduct data profiling, create documentation, and develop automated tests to ensure data quality and accuracy.

🎯 Requirements

• 3-5 Years of experience as a Data Integration Engineer or similar role • Implementing and designing data curation, and data analysis • Orchestrating data transformation through cloud native analytics platforms (Snowflake, Databricks) across cloud environments (Azure, AWS, GCP) • Building and modeling data in relational and non-relational data storage technologies including schema design, stored procedure development and performance and optimization techniques (e.g. SQL & NoSQL, C#, Python, etc.) • Effective collaboration, experienced in creating technical partnerships across teams • Learning and understanding the various technical domains across the enterprise and able to communicate complex technical and business concepts across the enterprise and various business stakeholders • Effectively delivering results in a fast-paced environment while managing multiple priorities • Documenting and testing your designed solutions, engaging with QA and DevOps teams