Data Engineer IV – Enterprise Analytics

atThe StandardRemoteUS flagOregonFull-timeData EngineerSeniorLead$131.8k – $223.5k/year

Posted 2 days ago

This is a fully remote position, open to applicants in Oregon.

📋 Description

• Oversee and manage data pipelines and workflows established on Azure Databricks.

• Diagnose and resolve issues within data pipelines to guarantee accurate and reliable data flows.

• Work collaboratively with data engineers and business partners to comprehend data requirements and system functionality.

• Create and revise documentation for data processes and procedures.

• Conduct regular system backups and participate in disaster recovery exercises.

• Offer technical assistance to stakeholders concerning data access and utilization.


⛳️ Requirements

• High School Diploma or GED is mandatory.

• At least 8 years of relevant experience is required.

• Practical, technical experience with Azure Databricks is essential.

• Strong comprehension of the Azure data ecosystem is necessary.

• Familiarity with incident management methodologies is preferred.

• Experience with financial services data and systems is highly desirable.

• Exceptional attention to detail and strong problem-solving abilities are required.

• A proactive, adaptable mindset with a readiness to learn new technologies is essential.

• A criminal background check, along with verification of employment, education, and licensing, is required as a condition of employment.

• Must be bondable.


🏝️ Benefits

• Medical, dental, and vision insurance.

• 401(k) plan with matching contributions from the company.

• Annual incentive bonus program.

• Paid time off, including 11 holidays, 2 wellness days, and 8 volunteer hours each year.

• PTO increases with length of service.

• Opportunities for career growth and advancement.

• Paid parental leave.

• Assistance for adoption and surrogacy.

• Employee giving program that matches donations to qualifying nonprofits and educational institutions twofold.

• A supportive and responsive management approach.

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