IT SR Software Engineer

Mayo Clinic’s tech culture is rooted in passion for technology, embraces innovative thinking and strives for high performance. Our teams drive change in health care through comprehensive connected health and digital transformation strategies.

Some examples of our major initiatives are: • Utilizing artificial intelligence and machine learning principles to develop next generation patient centric care systems • Transforming the practice by applying data science techniques to discover new approaches to health care delivery • Leveraging Enterprise Architecture to construct integration centricity, promote data liquidity, and provide innovation support This transformation creates, connects and applies integrated knowledge to deliver the best health care, health guidance and health information to patients, customers, partners, providers, employees anywhere and anytime so the needs of the patient come first. Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report.

As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.

Responsibilities We are seeking a Senior Software Engineer to design and build back-end services 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 using state of the art software development applications and frameworks. 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 to translate requirements into code. • 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. • 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. • Contributes to design and architecture discussions with Principals and Architects. • Leads targeted cross-functional improvement efforts and mentors more junior software engineers. • Solves complex problems; takes a new perspective on existing solutions. • Work independently with minimal guidance. You may lead projects or project steps within a broader project or have accountability for ongoing activities or objectives. • Act as a resource for colleagues with less experience. As a member of the Data and AI Integration Services Section within the Enterprise Platform Services Division, you will be responsible for building and delivering best-in-class data solutions, including state-of-the-art data pipelines supporting both batch and real-time streams to enable clinical data collection, storage, processing, transformation, aggregation, and dissemination leveraging Google Cloud Platform, GCP Shared Services like Google Healthcare API, Big Query, and HL7 FHIR store.

In this role, you will work with product managers and product owners to implement defined product strategies that meet and exceed consumer expectations. You will be a member of a highly skilled team with deep GCP experience in Big Query, Dataflow, Data Fusion, Data Stream and other cloud technologies to design and develop data pipelines integrating ingestion, harmonization, and consumption frameworks for onboarding data from various data sources formatted in various industry standards (FHIR, C-CDA, HL7 V2, JSON, XML, etc.). You will be expected to bring a DevOps mindset to innovate and build proof of concepts for enabling complex transformations, notification engines, analytical engines and self-service analytics. In addition, you will drive implementation of internal process improvements, automation of manual processes, and optimization efforts focused on data delivery, scalability, quality, and efficiency.

You will also participate in the evaluation of supporting technologies and industry best practices with cloud partners and peer teams. Qualifications Bachelors Degree in Computer Science/Engineering or related field with 5 years of experience as noted below; OR an Associate’s degree in Computer/Science/Engineering or related field with 7 years of experience. Required hands-on GCP tech stack experience, including advanced skills in several of the following:

GCP Dataflow, GCP Big Query, GCP Data Fusion, GCP Change Data Stream, Python/SQL, Terraform, Cloud Functions, Cloud Events, Cloud Composer. Preferred experience coaching and mentoring team members to advance GCP skills. This job requires obtaining a Google Professional Data Engineer certification within 2 years of hire, if not already obtained.

Have in-depth knowledge of software engineering with experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.) and a basic knowledge of related fields. Demonstrated problem solving and time management skills. Possesses 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. Preferred Qualifications: • Masters degree in Computer Science/Engineering or related field. • Ability to use a wide variety of open-source technologies and cloud-based services. • Experience writing software for the cloud (GCP, AWS, Azure). • Experience in databases, analytics, big data systems or business intelligence products. • Experience building high-performance, highly available and scalable distributed systems. • Experience developing software for healthcare related industries. Authorization to work and remain in the United States, without necessity for Mayo Clinic sponsorship now, or in the future (for example, be a U.S. Citizen, national, or permanent resident, refugee, or asylee). Also, Mayo Clinic does not participate in the F-1 STEM OPT extension program.