Senior Data Engineer - Digital Pathology - Remote jobs in United States
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Mayo Clinic · 10 hours ago

Senior Data Engineer - Digital Pathology - Remote

Mayo Clinic is a top-ranked healthcare provider dedicated to putting patient needs first. They are seeking a Senior Data Engineer to execute the technical vision for their Digital Pathology team, responsible for building and optimizing multimodal data pipelines to support AI and biological foundation models.

BiotechnologyHealth CareHospitalMedicalWellness
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H1B Sponsor Likelynote

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

Qualification

SQLPythonData engineeringMachine learningApache SparkGoogle Cloud PlatformData visualizationProblem resolutionInterpersonal skillsTime managementAttention to detail

Required

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

Preferred

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
The preferred candidate will have experience in: SQL
The preferred candidate will have experience in: Python
The preferred candidate will have experience in: Google Cloud Dataflow (Apache Beam)
The preferred candidate will have experience in: Google Cloud BigQuery
The preferred candidate will also have the GCP Professional Data Engineer Certification

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.

Company

Mayo Clinic

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MayoClinic is a nonprofit medical practice and medical research group focused on integrated health care, education, and research.

H1B Sponsorship

Mayo Clinic has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (580)
2024 (476)
2023 (491)
2022 (509)
2021 (389)
2020 (583)

Funding

Current Stage
Late Stage
Total Funding
$399.05M
Key Investors
The ALS AssociationNational Institute of Neurological Disorders and StrokeAmerican Heart Association
2025-12-04Grant· $0.95M
2024-09-24Grant· $12M
2023-07-26Grant

Leadership Team

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Gianrico Farrugia
President and CEO
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Richard Gray
Chief Executive Officer
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Company data provided by crunchbase