Opala
Opala is a technology company focused on the healthcare industry, providing software solutions specifically designed for healthcare payers and providers. The company enables these entities to leverage their data to improve patient outcomes and operational efficiency by automating administrative processes, ensuring compliance, and enhancing data quality. With a strong emphasis on collaboration across the healthcare ecosystem, Opala aims to transform healthcare operations through its innovative data-driven tools.
Healthcare IT • Payer Data • Clinical EMR Data • FHIR • Data Exchange
Staff Data Engineer
February 14
Opala
Opala is a technology company focused on the healthcare industry, providing software solutions specifically designed for healthcare payers and providers. The company enables these entities to leverage their data to improve patient outcomes and operational efficiency by automating administrative processes, ensuring compliance, and enhancing data quality. With a strong emphasis on collaboration across the healthcare ecosystem, Opala aims to transform healthcare operations through its innovative data-driven tools.
Healthcare IT • Payer Data • Clinical EMR Data • FHIR • Data Exchange
📋 Description
• Provide technical leadership for data team • Analyze, design, develop, deploy, and maintain data-hub and associated integrations • Works with product and business to outline design specifications, development schedules • Provides technical leadership and guidance, designing templates, code patterns and data patterns for team • Build end-to-end ETL pipelines populating data for various data-marts, warehouses, exports • Performs data analysis and development tasks to support ELT/ETL data movement, database development • Builds complex analytic visualizations around patient, payer, and provider data sets • Supports all SDLC activities in accordance with industry best practices • Conducts investigations and tests of considerable complexity • Troubleshoots complex problems and provides customer support for software operating systems and application issues • Maintains current knowledge of relevant technology as assigned • Review and analyze existing data pipelines, and make recommendations on improvements
🎯 Requirements
• 10+ years’ relevant experience • Bachelor’s degree in Computer Science, Engineering, or other related technical discipline, or equivalent relevant work experience • 5+ years building ETL/ELT processes • 5+ years developing with relational and non-relational databases, such as Databricks, Postgres, SQL Server, Dynamodb, Oracle, Mongo DB • 5+ years developing in a structured language (Python, Java, C#, etc..) • 2+ years developing in Databricks (Pyspark/Databricks SQL) • Experience with the ingestion and egestion of data in a variety of formats including: CSV, JSON, XML and HL7 • Advanced Knowledge of data structures, queries in both relational and no-relational dbs
🏖️ 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
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