Data Engineer

Job summary

If you are wondering what makes TRI*** different, it's that all of our associates share in a common purpose of serving clients, patients, communities, and each other with equal measures of care and performance.

Qualifications

• If you are wondering what makes TRI*** different, it's that all of our associates share in a common purpose of serving clients, patients, communities, and each other with equal measures of care and performance.
• Demonstrates knowledge of specific data warehouse methodology and frameworks within the context of assigned business domain, product or service.
• Required:
• Bachelor’s degree or equivalent in MIS, Computer Science or related field preferred
• At TRI***, we are committed to cultivating a workplace culture where every associate feels valued, supported, and empowered to thrive.
• This culture reflects our belief that our people are our foundation, their well-being is essential, and shared success is built through meaningful work, recognition, and opportunities for growth.
• Visit our website to view our Workplace Culture Commitment , along with our social channels to see what our team is up to: Facebook, LinkedIn, Twitter.
• TRI*** is an Equal Opportunity Employer.
• Drug-Free Workplace.
• Because we are committed to providing a safe and productive work environment, TRI*** is a drug-free workplace.

Responsibilities

• It is truly a culture like no other — We hope you will join our team!
• Responsible for delivering desired content and capability to assigned data domains, products or services in the Enterprise Data Warehouse.
• Accountabilities
• Develop data warehouse objects and the underlying framework metadata.
• Collaborate to evaluate data warehouse designs.
• Implement, test and deliver new features for multiple platforms.
• Coordinate with QA team to initiate testing and ensure testing is completed.
• May design framework and metadata standards and make suggestions for data model improvements .
• Confirm that data model designs support the integration of data and reporting/informatics.
• Analyze and make recommendations on the impact of data model design as they relate to common conceptual models.
• Identify inefficiencies in design.
• Problem Solving & Analysis

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