Senior Data Engineer - Digital Pathology; Hybrid

Responsibilities

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.

The position requires a hybrid work arrangement and must be located within 100 miles of the Mayo Clinic campus in Rochester, MN for quarterly on‑site expectations.

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, or analytical modeling techniques; OR an Associate’s degree in a relevant field and a minimum of seven years of professional or research experience in the same areas.

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. Strong interpersonal, time‑management, analytical, and communication skills are required. Advanced experience in SQL is required. Strong experience in scripting languages such as Python, JavaScript, PHP, C++ or Java and 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, Git Hub Actions) is preferred. Experience in Data Ops/Dev Ops and agile methodologies is preferred.

Experience with hybrid data virtualization such as Denodo is preferred. Working knowledge of Tableau, Power BI, SAS, Thought Spot, DASH, d3, React, Snowflake, SSIS, and Google Big Query is preferred. Google Cloud Platform (GCP) certification is preferred.

$ - $ per year.

• 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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Mayo Clinic participates in E‑Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I‑9 to confirm work authorization.