Data Engineer II

HonorHealth

Data Engineer II building ETL pipelines, data lakehouses, and warehouses for HonorHealth, a nonprofit healthcare system. Supporting production data flows and integration systems across Arizona.

Posted 8/11/2026full-timeRemote • Arizona • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, integration processes, and ETL solutions, with a strong focus on data lakehouse and database development. Proficient in Python, SQL, and Big Data technologies, while also mentoring junior team members and maintaining documentation.

Highest-signal resume keywords

Data Engineering ExperienceETL Tool ProficiencyDatabase Development with PythonBig Data Technologies (Databricks, Apache Spark)Cloud Technologies (Azure, AWS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Lakehouse DevelopmentDatabase DevelopmentETL SolutionsData TransformationData IngestionSQLPL/SQLBashPythonApache Spark

Soft Skills

MentoringTroubleshootingDocumentation

Tools & Technologies

DatabricksAzureAWSMySQLOracleSQL ServerUnified CatalogMicrosoft Purview

Industry Keywords

Healthcare ExperienceData Quality ToolsIntegration ProcessesData Warehouse Activities

Tech Stack

Tools & technologies

ApacheAWSAzureCloudETLMySQLOraclePythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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