Senior Data Engineer - Generative AI
Job ID 332281 Date posted 04/27/2024- Rochester, MN
- Full Time
- Remote: Yes
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Overview
Be challenged to deliver innovative solutions that will change health care.
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.
Job Description
CityRochester
StateMN
RemoteYes
DepartmentInformation Technology
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
It is an exciting time at Mayo Clinic, as we are building the most trusted generative AI and LLM-based solutions to empower our staff, improve our practice and transform healthcare. To accelerate our generative AI strategy, we are forming a cross functional team of technical experts. This team will be responsible for:
- Supporting the Generative AI Program’s Request for Application (RFA) Process, its entrants and winners
- Providing temporary tiger-team efforts to accelerate key initiatives
- Expanding the organization’s understanding of LLM technology through:
- Development of best practices, knowledge assets, and code examples to accelerate the efforts of others
- Execution of technical proofs of concept and exploration
- Providing consultations, presentations, and sharing of knowledge across Mayo Clinic to technical and non-technical audiences
- Providing guidance across the Generative AI program workstreams as technical experts
Develops and deploys data pipelines, integrations and transformations to support analytics and machine learning applications and solutions as part of an assigned product team using various open-source programming languages and vended software to meet the desired design functionality for products and programs. The position requires maintaining an understanding of the organization's current solutions, coding languages, tools, and regularly requires the application of independent judgment. May provide consultative services to departments/divisions and leadership committees. Demonstrated experience in designing, building, and installing data systems and how they are applied to the Department of Data & Analytics technology framework is required. Candidate will partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, pipeline and transform data to help identify and visualize trends, build and validate analytical models, and translate qualitative and quantitative assessments into actionable insights.
This is a full time remote position within the United States. Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM.
This position will accept applications until 5/10/2024. This deadline may be extended if the necessary candidate pool is not met by this date.
Qualifications
A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of five years of professional or research experience in data visualization, data engineering, analytical modeling techniques; OR an Associate’s degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of seven years of professional or research experience in data visualization, data engineering, analytical modeling techniques. In-depth business or practice knowledge will also be considered.
Incumbent must have the ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills, time management skills, and demonstrated experience working on cross functional teams are required. Requires strong analytical skills and the ability to identify and recommend solutions and a commitment to customer service. The position requires excellent verbal and written communication skills, attention to detail, and a high capacity for learning and problem resolution.
Advanced experience in SQL is required. Strong Experience in scripting languages such as Python, JavaScript, PHP, C++ or Java & API integration is required. Experience in hybrid data processing methods (batch and streaming) such as Apache Spark, Hive, Pig, Kafka is required. Experience with big data, statistics, and machine learning is required. The ability to navigate linux and windows operating systems is required. Knowledge of workflow scheduling (Apache Airflow Google Composer), Infrastructure as code (Kubernetes, Docker) CI/CD (Jenkins, Github Actions) is preferred. Experience in DataOps/DevOps and agile methodologies is preferred. Experience with hybrid data virtualization such as Denodo is preferred. Working knowledge of Tableau, Power BI, SAS, ThoughtSpot, DASH, d3, React, Snowflake, SSIS, and Google Big Query is preferred.
Google Cloud Platform (GCP) certification is preferred.
Exemption Status
Exempt
Compensation Detail
$134,888.00 - 195,624.00
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
Monday - Friday, 8am - 5pm
Weekend Schedule
As needed
International Assignment
No
Site Description
As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.
Recruiter
Ted Keefe
Career Path
Discover unlimited opportunities. Your IT career may start as a Help Desk Specialist or Work Station Technician, an intern, or entry-level Analyst/Programmer and develop into a mid- or senior-level technical position. You may choose to grow laterally as a technical expert, learning and supporting many different aspects of IT services. Or you may choose to become part of the leadership team.
- Applications
- Business Relationship Management
- Enterprise Infrastructure
- Enterprise Architecture
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Information
Security - Management
- Project Management and Systems Analysis
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Quality
Assurance
The Life Changers
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When you choose an IT career with Mayo Clinic you will have an opportunity to engage with new and innovative solutions which will improve quality of life and patient outcomes. You will partner with brilliant Physicians and Scientists to help drive translational medicine in a fast-paced environment where creativity, energy, and dedication will result in success.”
Marie Koctecki
Senior Manager, IT Service Delivery -
Over the span of my career, I have worked in multiple divisions across IT and have now advanced to a Service Delivery Manager role, managing a Project Management Office (PMO). The opportunities within the department of IT are vast. I have been able to gain my Project Management Professional (PMP) certification as well as my Certified Scrum Master (CSM) certification while at Mayo Clinic.”
Betty Hutchins
Manager, IT Service Delivery -
I appreciate the breadth of career paths within IT and the ability to branch out and diversify my professional expertise while remaining with Mayo Clinic. The diverse backgrounds and depth of expertise of my coworkers is an attribute of Mayo’s unique culture; I enjoy the opportunity to work with so many world-renowned experts and thought leaders across a wide array of professions.”
Samanthie Epps
Manager, IT Speciality Systems
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