Senior Data Engineer - Azure Databricks & Analytics

StanCorp Financial Group, Inc; Portland (OR); On-site; USD 132,000 - 224,000; Full time

Job summary

The Standard in Portland, OR is seeking a meticulous Data Engineer IV to join our Enterprise Data and Analytics team. You will help ensure the accuracy, efficiency, and reliability of our Azure Databricks-based data pipelines and enterprise data platforms.

You will monitor pipelines, troubleshoot issues, document processes, and collaborate with data engineers and business partners to meet data requirements.

Qualifications

• High School Diploma or GED required; bachelor’s degree preferred.
• 8+ years of related experience.
• Hands-on experience with Azure Databricks.
• Strong understanding of Azure data ecosystem and incident management.
• Experience with financial services data is highly preferred.
• Excellent attention to detail and problem-solving skills.
• Proactive and adaptable attitude with willingness to learn new technologies.

Responsibilities

• Monitor and maintain data pipelines and workflows built on Azure Databricks.
• Troubleshoot and resolve data pipeline issues to ensure accurate and consistent data flows.
• Collaborate with data engineers and business partners to understand data requirements and system behavior.
• Document and update data processes and procedures for clarity and consistency.
• Perform regular system backups and disaster recovery drills to ensure data security and availability.
• Provide technical support to stakeholders regarding data access and usage.

Skills

Data engineering

Data pipelines

Attention to detail

Problem solving

Proactive mindset

Education

High School Diploma or GED

Bachelor’s degree preferred

Tools

Azure Databricks

Job description

The Standard in Portland, OR is seeking a meticulous Data Engineer IV to join our Enterprise Data and Analytics team. You will help ensure the accuracy, efficiency, and reliability of our Azure Databricks-based data pipelines and enterprise data platforms.

You will monitor pipelines, troubleshoot issues, document processes, and collaborate with data engineers and business partners to meet data requirements.