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

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.

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, 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, 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 BigQuery is preferred. Google Cloud Platform (GCP) certification is preferred.

Compensation

$141,024.00 - $204,526.40 per year.

Benefits

• 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.

Equal Opportunity

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.