Data Engineer

The Mayo Clinic is seeking a Data Engineer to design and optimize data pipelines and data architecture at an onsite location in Rochester, MN. This role collaborates with cross-functional teams to analyze data, translate business requirements into information needs, and ensure timely data delivery. Salary range: USD 102,300 - 143,200 per year.

Responsibilities

• Assemble large, complex data sets that meet both functional and non-functional business requirements.
• Demonstrate strong SQL proficiency, including the ability to identify subsets across multiple joins or unions, and to write and troubleshoot SQL queries for data mining.
• Conduct complex data analysis and investigation for customer requests, explain results, and provide appropriate recommendations.
• Apply a solid understanding of data modeling concepts.
• Act as a proactive problem solver with the ability to think critically to identify improvement opportunities, including error detection, error correction, and root cause analysis.
• Understand ETL processes to support data verification and testing.
• Build processes that support data transformation, data structures, metadata, dependency management, and workload management.
• 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.
• Demonstrate the ability to participate effectively in multiple concurrent projects.
• Improve and customize current data solutions to satisfy functional and non-functional requirements.
• Research new and existing data sources to contribute to development, improve data management processes, and recommend data quality initiatives.
• Perform periodic data quality reviews for internal and external data.
• Ensure timely resolution of data queries and data issues.
• Identify new data collection opportunities by researching potential sources of information.
• Collaborate with data and analytics experts to enhance the functionality of data systems.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field; or an Associate’s degree in Computer Science, Engineering, or a related field with 2 years of experience.
• Proven ability to analyze and profile data to address business problems through advanced data modeling, source system databases, or data mining techniques.
• May provide consultative services to departments, divisions, and committees.
• Demonstrated use of multiple problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (for example, data analysis, data profiling, modeling).
• Ability 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.
• Robust analytical skills and the ability to identify and recommend solutions, with advanced computer application skills and a commitment to customer service.
• Experience with data analysis, quality, 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