Software Engineer - Business Analysis and Integration

Mayo Clinic•Rochester, MN

About The Position

Mayo Clinic is seeking a Software Engineer to gather requirements from the teams who use our systems, and to build the back-end services and enterprise integrations that support our portfolio of data-centric clinical and analytic applications. These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning. Our Software Engineers ensures that these cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale as data volumes and traffic increase. They work closely with the data engineering, platform, and solutions teams to develop applications as required to benefit our practice and patients. Works closely with the Product Owners, Product Managers, Architects and business stakeholders to elicit requirements and translate them into code and into development work the team can act on. Developing services around data warehousing, big data, cloud computing, business intelligence, analytics and machine learning. Participate in DevOps, Agile, continuous development and integration frameworks. Programming in high-level languages such as Go, Python, Java etc. Work on deployment automation/configuration management with tools including but not limited to ADO, Puppet, Chef or Ansible or Azure Pipelines, CloudFormation, Terraform following a DevOps model. Ensure all appropriate documentation of processes and source code is created and maintained. Communicate effectively with peers, leaders, and customers throughout the organization. Participate in expert level troubleshooting and resolve problems through root cause analysis, data and system investigation. Continues to build knowledge of the organization, processes and customers. Performs a range of mainly straightforward assignments. Uses prescribed guidelines or policies to analyze and resolve problems. Receives a moderate level of guidance and direction. This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.

Requirements

Bachelor's Degree in Computer Science/Engineering or related field; OR an Associate’s degree in Computer Science/Engineering or related field with an additional 2 years of experience.
Working knowledge and experience of Software Engineering with a minimum of internships and a minimum of 1 yr. of experience, or 2yrs of experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.).
Demonstrated problem-solving and time management skills.
Strong technical aptitude for designing and implementing software solutions.
Experience with modern application development frameworks.
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
Deep hands-on technical expertise.
Excellent verbal and written communication skills.
Experience with Agile software development techniques.

Nice To Haves

Ability to use a wide variety of open-source technologies and cloud-based services.
Experience with Google and Azure cloud environments.
Experience in databases, analytics, big data systems or business intelligence products.
Experience with building high-performance, highly available and scalable distributed systems.
Experience developing software for healthcare related industries.
Experience in business analysis: eliciting requirements from non-technical stakeholders and translating them into development work the team can act on.
Experience integrating applications with enterprise systems of record and review workflows.

Responsibilities

Gather requirements from teams who use Mayo Clinic's systems.
Build back-end services and enterprise integrations for data-centric clinical and analytic applications.
Ensure cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale.
Develop applications in collaboration with data engineering, platform, and solutions teams.
Elicit requirements and translate them into code and development work.
Develop services around data warehousing, big data, cloud computing, business intelligence, analytics, and machine learning.
Participate in DevOps, Agile, continuous development, and integration frameworks.
Program in high-level languages such as Go, Python, Java etc.
Work on deployment automation/configuration management with tools like ADO, Puppet, Chef, Ansible, Azure Pipelines, CloudFormation, or Terraform following a DevOps model.
Ensure appropriate documentation of processes and source code is created and maintained.
Communicate effectively with peers, leaders, and customers.
Participate in expert-level troubleshooting and resolve problems through root cause analysis, data, and system investigation.
Build knowledge of the organization, processes, and customers.
Perform straightforward assignments using prescribed guidelines or policies to analyze and resolve problems.
Receive a moderate level of guidance and direction.