Senior Data Engineer — Azure Databricks & Pipelines

The Standard; United States; Sur place; USD 132 000 - 224 000; Plein temps

Avantages offerts par ce poste

Medical, dental, vision coverage

401(k) with company match

Annual incentive bonus

Paid time off

Résumé du poste

The Standard in the United States seeks a meticulous Data Engineer IV to join the Enterprise Data and Analytics team. You will ensure accuracy and reliability of enterprise data processes and systems built on Azure Databricks, collaborating with partners to understand data requirements.

This role emphasizes data pipeline monitoring, issue resolution, documentation, and disaster recovery drills, with a strong focus on financial services data and a high-attention-to-detail mindset.

Qualifications

• Hands-on, technical experience with Azure Databricks.
• Strong understanding of Azure data ecosystem and incident management techniques.
• Experience working with financial services data and systems is highly preferred.
• Excellent attention to detail and problem-solving skills.
• A proactive and adaptable attitude with a willingness to learn new technologies.

Responsabilités

• 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 our 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.

Connaissances

Azure Databricks

Incident management

Financial services data

Attention to detail

Adaptable attitude

Formation

High School Diploma or GED

Bachelor’s degree preferred

Description du poste

The Standard in the United States seeks a meticulous Data Engineer IV to join the Enterprise Data and Analytics team. You will ensure accuracy and reliability of enterprise data processes and systems built on Azure Databricks, collaborating with partners to understand data requirements.

This role emphasizes data pipeline monitoring, issue resolution, documentation, and disaster recovery drills, with a strong focus on financial services data and a high-attention-to-detail mindset.