IS Data Engineer

CareOregon is a healthcare organization seeking an IS Data Engineer to advance their data and analytics initiatives. The role involves building and optimizing data pipelines while ensuring compliance with data governance and security requirements.

Responsibilities:

• Create, maintain and optimize data pipelines as workloads move from development to production for specific use cases
• Manage data pipelines through stages, beginning with ingestion of data sources through integration to consumption for specific use cases
• Utilize innovative tools, techniques and architectures to partially or completely automate tasks in order to minimize manual processes, reduce the potential for error and improve productivity
• Assist with the renovation of data management infrastructure that supports automation in data integration and management
• Partner with other Information Systems teams, business data analysts and other data and analytics consumers to refine their data requirements for initiatives and consumption
• Train data and analytics consumers about data pipelines and preparation techniques to make it easier for them to integrate and consume the data they need for their own use cases
• Apply understanding of data and domains to address emerging data requirements
• Propose innovative data ingestion, preparation, integration and operationalization techniques to optimally address data requirements
• Promote CareOregon’s available data and analytics capabilities and expertise to IS staff and department leaders
• Collaborate with and educate staff and leadership on how to leverage data and analytics capabilities to achieve business goals

Requirements:

• Minimum 5 years' experience in data management, RDBMs required in roles that included all or most of the following functions: Database design and development experience
• ETL experience
• Development utilizing tools such as Microsoft SQL Server, Snowflake and/or similar tools
• Data warehouse technical development that encompasses the data management life cycle and establishes end-to-end data warehousing, data management and analytics architecture
• Experience with multi-source and multi-data from different format sources and/or data structure
• In depth knowledge of commonly used database programming languages for relational databases (e.g. SQL)
• In depth knowledge of commonly used cloud-based data warehouse platforms (e.g. Snowflake, Redshift, etc.)
• Understanding of business intelligence solutions including working knowledge of commonly used data discovery, analytics and BI software tools for semantic layer-based data discovery (e.g. Tableau, Power BI, etc.)
• Knowledge of emerging data ingestion and integration technologies
• Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management
• Strong ability to work with IT and business staff to integrate analytics and data science output into business processes and workflows
• Strong ability to partner with data science teams to leverage data science and refine and optimize machine learning models and algorithms
• Strong ability to collaborate with data governance, quality and security experts to move data pipelines into production in compliance with applicable standards and certification
• Ability to work across multiple deployment environments including cloud, on-premises and hybrid
• Ability to work with multiple operating systems and containerization platforms (e.g. Docker, Kubernetes, AWS Elastic Container Service, etc.)
• Ability to work with large, heterogeneous datasets to build and optimize data pipelines, pipeline architectures and integrated datasets
• Adept in the use of traditional data integration technologies including ETL/ELT, data replication/CDC and API design and access
• Strong ability to work with and optimize existing ETL/ELT processes and data integration, data preparation flows and helping to move them into production
• Strong ability to work with analytics tools for object-oriented/object function scripting using R, Python, Java, Scala and/or similar languages
• Strong ability to apply Agile methodologies
• Ability to apply DevOps practices and tools and DataOps principles to data pipelines to improve data flows
• Possess curiosity and desire for ongoing learning about new data initiatives and how to address them
• Ability to continually learn the latest versions of development tools and software products
• Excellent written and oral communication skills
• Ability to successfully manage multiple tasks, concurrent high priority projects and continuous deadlines
• Possess a high degree of initiative, motivation, self-discipline and good judgment
• Ability to work effectively with diverse individuals and groups
• Ability to learn, focus, understand, and evaluate information and determine appropriate actions
• Ability to accept direction and feedback, as well as tolerate and manage stress
• Ability to see, read, and perform repetitive finger and wrist movement for at least 6 hours/day
• Ability to hear and speak clearly for at least 3-6 hours/day
• Data management experience within the healthcare industry preferred
• Utilization of data integration, modeling, optimization and data quality improvement processes
• Development using Microsoft Azure products such as Data Factory, Functions, Databricks, Monitor and/or similar products
• Knowledge of the basic concepts of managed care preferred
• Knowledge of health insurance business entities, relationships and processes preferred