Data Engineer II

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🔥 0 minutes ago

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HonorHealth

10,000+ employees

Founded 2013

🏥 Healthcare

📚 Education

Healthcare • Education

HonorHealth is an integrated healthcare organization that offers hospital and outpatient medical services, primary care, urgent care, telehealth (E-Visits), and patient-facing digital tools like MyChart. The organization also operates a research institute, offers academic programs (residencies, fellowships, CME, medical student resources), maintains a foundation and volunteer/community programs, and provides patient resources such as billing, price transparency, and online appointment scheduling. HonorHealth positions itself as a community-focused health system delivering clinical care, education, and research.

📋 Description

• Design, develop, code, implement, and support integration processes and data warehouse activities • Translate business requirements into technical specifications • Develop, customize, and manage integration tools, databases, warehouses, and analytical systems • Monitor, troubleshoot, and support production data pipeline jobs transferring data to and from databases • Mentor junior members on best practices and design patterns • Code, test, and implement integration software for ETL solutions • Develop data extraction, transformation, and loading mappings from different sources to a target data lakehouse or warehouse • Schedule and integrate application/software logs with monitoring applications • Implement stored procedures and query data lakehouse, data warehouse, MySQL, Oracle, and SQL Server systems • Debug and troubleshoot errors and support production jobs • Produce in-depth development, policy, and procedure documentation • Participate in development planning sessions and weekly team status meetings • Create and update project management documentation • Provide occasional off-hours emergency and on-call support • Maintain current knowledge of new and existing software • Perform other duties as assigned

🎯 Requirements

• Bachelor’s degree in Computer Science or related field required • Master’s degree in Computer Science or related field preferred • 2 years of experience with data lakehouse or enterprise data required • 2 years of database development experience with Python, SQL, PL/SQL, and Bash required • 2 years of Big Data experience with Databricks, Apache Spark, or similar required • 3 years of data engineering experience with an integration/ETL tool or application required • 1 year of experience with cloud technologies such as Azure or AWS preferred • 2 years of healthcare or related experience preferred • Available for occasional off-hours emergencies and on-call support • Experience with data ingestion, data transformation, and data quality tools is highly valued • Experience leveraging Unified Catalog or Microsoft Purview is highly valued

🏖️ Benefits

• Benefits are referenced via a “Benefits” link, but specific benefits are not detailed in the posting

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