Data Engineer

Mayo Clinic invites a Data Engineer to join its Rochester, Minnesota team onsite. You will design, build, and optimize data pipelines and data architecture while collaborating with cross-functional groups to translate business needs into actionable information. The role offers a competitive salary range of USD 102,300 - 143,200 per year and a comprehensive benefits package designed to support your well being and professional growth.

Responsibilities

• Assemble large, complex data sets that meet functional and non functional requirements.
• Demonstrate strong SQL skills, identifying subsets of information across multiple joins or unions, and write or troubleshoot queries for data mining.
• Conduct complex data analysis on customer requests, explain results clearly, and provide informed recommendations.
• Apply a solid understanding of data modeling concepts to solution design.
• Approach problems with initiative, performing error detection and root cause analysis to identify improvements.
• Understand ETL processes to assist with data verification and testing.
• Build processes that support data transformation, data structures, metadata, dependency management, and workload planning.
• Show a track record of manipulating, processing, and extracting value from large, disconnected datasets.
• Analyze business objectives and develop data solutions that meet customer needs.
• Effectively participate in multiple concurrent projects and adapt to shifting priorities.
• Improve and customize data solutions to align with functional and non functional requirements.
• Research new and existing data sources to contribute to development, enhance data management, and support data quality initiatives.
• Perform periodic data quality reviews for internal and external data sources.
• Ensure timely resolution of data queries and issues.
• Explore new methods for data collection by evaluating potential sources of information.
• Collaborate with data and analytics experts to enhance data system functionality.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field; or Associate's degree in Computer Science, Engineering, or related field with 2 years of experience.
• Proven ability to analyze and profile data to address business problems using advanced data modeling, source system databases, or data mining techniques.
• Ability to provide consultative services to departments, divisions, or committees as needed.
• Experience applying problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools (data analysis, profiling, modeling, etc.).
• Capacity to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes.
• Strong interpersonal and time management skills.
• Analytical mindset with the ability to identify and propose effective solutions; solid computer application skills and a commitment to customer service.
• Experience with data analysis, quality assurance, and profiling, including data exploration tools such as Rapid SQL, AQT, Information Analyzer, and Informatics.

Technologies

• SQL
• Rapid SQL
• AQT
• Information Analyzer
• Informatics

Benefits

• Medical: Multiple plan options.
• Dental: Delta Dental or reimbursement account for flexible coverage.
• Vision: Affordable plan with national network.
• Pre-Tax Savings: HSA and FSAs for eligible expenses.
• Retirement: Competitive retirement package to secure your future.

Recruiter: Julie Melton