Senior Data Engineer – Digital Pathology (Hybrid)

Mayo Clinic; Rochester (MN); Hybrid; USD 141,024 - 204,526; Full time

Benefits offered by this job

Medical: Multiple plan options

Dental: Delta Dental or reimbursement

Vision: National network plan

Pre-Tax Savings: HSA/FSAs

Competitive retirement package

Job summary

Mayo Clinic is seeking a data engineering/analytics professional to design and deploy data pipelines, integrate diverse data sources, and support analytics and machine learning initiatives. The role focuses on transforming data to enable insight generation and decision-making across product teams.

You will collaborate with analytics and ML delivery teams, apply hybrid data processing methods, and work within a hybrid setup located near Rochester, MN.

Qualifications

• Bachelor's degree or higher in engineering, mathematics, CS, IT, health science or related quantitative field.
• 5+ years in data visualization, data engineering, or analytical modeling.
• Experience with hybrid data processing methods (batch/ streaming) and big data.

Responsibilities

• Develops and deploys data pipelines, integrations, and transformations for analytics and ML products.
• Partner with product owners and analytics teams to identify, retrieve, and transform data.
• Translate analyses into actionable insights and visualize trends across solutions.

Skills

SQL

Python

JavaScript

API integration

Apache Spark

Hadoop

Linux/Windows

Airflow

Kubernetes

Docker

Jenkins

GitHub Actions

Tableau

Power BI

SAS

ThoughtSpot

d3

React

Snowflake

BigQuery

Education

Bachelor's degree in a relevant field

Associate’s degree in a relevant field

Tools

Tableau

Power BI

SAS

ThoughtSpot

DASH

d3

React

Snowflake

SSIS

Google BigQuery

Google Cloud Platform

Job description

Mayo Clinic is seeking a data engineering/analytics professional to design and deploy data pipelines, integrate diverse data sources, and support analytics and machine learning initiatives. The role focuses on transforming data to enable insight generation and decision-making across product teams.

You will collaborate with analytics and ML delivery teams, apply hybrid data processing methods, and work within a hybrid setup located near Rochester, MN.