HonorHealth

Data Engineer II (ICP)

HonorHealth Arizona, United States

Hospitals and Health Care · 10,001+ employees

Yesterday
Remote data-engineer Mid (2-5 yrs) Full-time United States
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About the role

The Data Engineer II designs, develops, and implements integration processes and data warehouse activities to support production data pipelines. They also translate business requirements into technical specifications and mentor junior team members on best practices.

What they look for

Data Engineering ETL Python SQL PL/SQL Bash Data Warehouse Data Lakehouse Apache Spark Databricks Cloud Technologies Azure AWS Data Ingestion Data Transformation Data Quality

Requirements

Candidates must have a Bachelor's degree in Computer Science or a related field and at least 2 years of experience in data engineering, database development, and big data technologies. Proficiency in ETL tools, SQL, Python, and cloud platforms is required for this role.

Full description

Primary City/State:

Virtual - ArizonaCategory:

IT Database AdministrationShift:

DayDepartment:

Information Technology

Great care starts with great people. (Like you.)

At HonorHealth, you’ll find something special. From humble beginnings in 1927 to one of Arizona’s largest nonprofit healthcare systems, our culture is built on warmth and neighborly kindness. Behind every smile is a highly skilled professional with deep expertise and an unwavering dedication to what matters most — caring for the health and well-being of people and communities across the greater Phoenix area.

Responsibilities:

JOB SUMMARY

The Data Engineer II ICP designs, develops, codes, implements, and supports Integration processes and Data Warehouse activities. Data Engineer II works closely with the business and translates the requirements into technical specifications to deliver a robust scheduled job to ingest and disseminate the information. Data Engineer II possesses programming skills to develop, customize and manage integration tools, databases, warehouses, and analytical systems. Data Engineer II monitors, troubleshoots and supports the production data pipeline jobs that transfer data to and from the databases. Data Engineer II mentors' other junior members on best practices and design patterns. Experience in utilizing data Ingestion, data transformation and data quality tools, leveraging tools such as the Unified Catalog or Microsoft Purview, will be highly valued and differentiated.

ESSENTIAL FUNCTIONS

  • Code, test, and implement integration software to ETL solution. Develop efficient mappings for data extraction/transformation/loading (ETL) from different sources to a target data lake house/warehouse. Schedule and integrate application/software logs to monitoring application. Implement stored procedures and effectively query the Storage systems (Data Lakehouse/Data Warehouse, MySQL, Oracle, SQL Server) database.
  • Debug and troubleshoot errors and provide required support to the production jobs.
  • Produce in-depth documentation of all development, policies and procedures.
  • Participate in development planning sessions, weekly team status meetings and create/update appropriate project management documentation as required.
  • Available for occasional off-hours emergencies. support activities related to on call procedures.
  • Maintain current knowledge in new and existing software to ensure productivity, capability, and return on investment.
  • Performs other duties as assigned.

EDUCATION

  • Bachelors Computer Science or related field Required
  • Masters Computer Science or related field Preferred

EXPERIENCE

  • 2 years, Data Lake House or Enterprise Data Required
  • 2 years, Database development (Python, SQL, PL/SQL, Bash) Required
  • 2 years, Experience Big Data (Data Bricks or Apache Spark or similar) Required
  • 3 years, Data Engineering experience with any integration/ETL tool/Application. Required
  • 1 year, Experience with cloud technologies such as Azure or AWS Preferred
  • 2 years, Healthcare or related experience Preferred

LICENSE AND CERTIFICATIONS

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