IS Data Engineer

$121,770 - $148,830/Yr

Careoregon - Milwaukee, WI

Full-time - Mid Level

Remote - Milwaukee, WI

Insurance Carriers and Related Activities

About the position

The IS Data Engineer at CareOregon plays a crucial role in enhancing data and analytics capabilities to support business initiatives. This position involves building, managing, and optimizing data pipelines to ensure efficient data access for various stakeholders, including data analysts and scientists. The engineer will ensure compliance with data governance and security while promoting integrated data reuse and accelerating the time-to-solution for analytics initiatives.

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 automate tasks, minimizing manual processes and improving productivity.
• Assist with the renovation of data management infrastructure that supports automation in data integration and management.
• Partner with other Information Systems teams and data consumers to refine their data requirements for initiatives and consumption.
• Train data and analytics consumers about data pipelines and preparation techniques.
• Propose innovative data ingestion, preparation, integration and operationalization techniques to optimally address data requirements.
• Promote CareOregon's data and analytics capabilities to IS staff and department leaders.

Requirements

• Minimum 5 years' experience in data management with functions including data integration, modeling, optimization, and data quality improvement processes.
• Strong ability to design, build and manage data pipelines for data structures including data transformation, data models, schemas, and workload management.
• In-depth knowledge of database programming languages for relational databases (e.g., SQL).
• Experience with cloud-based data warehouse platforms (e.g., Snowflake, Redshift).
• Ability to work with multiple operating systems and containerization platforms (e.g., Docker, Kubernetes).
• Experience developing using Microsoft Azure products (e.g., Data Factory, Functions, Databricks).
• Strong ability to work with analytics tools for object-oriented scripting using R, Python, Java, Scala.

Nice-to-haves

• Experience in health care or managed care.
• Knowledge or training in Snowflake.
• Experience with Azure Cloud, Azure Data Factory, Azure Functions, Azure Storage Blob, Azure DevOps.
• Azure Certifications.
• Data Modeling/Data Analysis experience.
• ETL experience.
• SSIS experience.

Benefits

• Estimated hiring range $121,770 - $148,830 / year
• 5% bonus target
• Full benefits package