Mayo Clinic · 3 hours ago
Senior Data Engineer
United States
Full-time
Remote
Senior Level
$138K/yr - $201K/yr
5+ years expMayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. They are seeking a Senior Data Engineer to join their Advanced Data Lake team, responsible for building and operating enterprise data Lakehouse platforms to support large-scale analytics and digital transformation.
BiotechnologyHealth CareHospitalMedicalWellness
No H1B
Responsibilities
We are seeking a talented Senior Data Engineer to join our Advanced Data Lake (ADL) team
You will build and operate enterprise data Lakehouse platforms that support large-scale analytics and digital transformation
Your responsibilities will include architecting and maintaining automated data pipelines for ingesting, transforming, and integrating complex datasets
You will use DataStream for real-time data movement and Dataflow for processing at scale
Composer/Airflow will be leveraged for seamless scheduling, monitoring, and automation of pipeline operations
Infrastructure provisioning and workflow management will be handled with Terraform and Dataform to ensure reproducibility and adherence to best practices
All code and pipeline assets will be managed through git repositories, with CI/CD automation and streamlined releases enabled by Azure DevOps (ADO)
Changes will be governed by ServiceNow processes to ensure traceability, auditability, and operational compliance
Core duties involve working with cross-functional teams to translate business needs into pipeline specifications, building and optimizing data models for advanced analytics, and maintaining data quality and security throughout all processes
You will automate workflow monitoring and proactively resolve data issues, applying strong technical and problem-solving skills
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
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
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
Strong analytical skills and the ability to identify and recommend solutions and a commitment to customer service
Excellent verbal and written communication skills, attention to detail, and a high capacity for learning and problem resolution
Advanced experience in SQL
Strong Experience in scripting languages such as Python, JavaScript, PHP, C++ or Java & API integration
Experience in hybrid data processing methods (batch and streaming) such as Apache Spark, Hive, Pig, Kafka
Experience with big data, statistics, and machine learning
Ability to navigate linux and windows operating systems
A GCP Professional Data Engineer certification is required
Preferred
Knowledge of workflow scheduling (Apache Airflow Google Composer), Infrastructure as code (Kubernetes, Docker) CI/CD (Jenkins, Github Actions)
Experience in DataOps/DevOps and agile methodologies
Experience with hybrid data virtualization such as Denodo
Working knowledge of Tableau, Power BI, SAS, ThoughtSpot, DASH, d3, React, Snowflake, SSIS, and Google Big Query
Google Cloud Platform (GCP) certification
Hybrid or multi-cloud experience
Familiarity with enterprise data governance, metadata, and lineage tools
Experience working in large, regulated environments
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
MayoClinic is a nonprofit medical practice and medical research group focused on integrated health care, education, and research.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$399.05MKey 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
Gianrico Farrugia
President and CEO
Richard Gray
Chief Executive Officer
Recent News
Medical Xpress - latest medical and health news stories
2026-01-16
2026-01-16
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2026-01-16
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