[Hiring] Senior Data Engineer @Mayo Clinic

Role Description

We are seeking a talented Senior Data Engineer to join our Advanced Data Lake (ADL) team. This is an infrastructure-heavy, hybrid cloud role with Google Cloud Platform (GCP) as a core requirement. You will build and operate enterprise data Lakehouse platforms that support large-scale analytics and digital transformation.

• Architect and maintain automated data pipelines for ingesting, transforming, and integrating complex datasets.
• Use DataStream for real-time data movement and Dataflow for processing at scale.
• Leverage Composer/Airflow for seamless scheduling, monitoring, and automation of pipeline operations.
• Handle infrastructure provisioning and workflow management with Terraform and Dataform.
• Manage all code and pipeline assets through git repositories.
• Enable CI/CD automation and streamlined releases with Azure DevOps (ADO).
• Ensure changes are governed by ServiceNow processes for traceability, auditability, and operational compliance.
• Work with cross-functional teams to translate business needs into pipeline specifications.
• Build and optimize data models for advanced analytics.
• Maintain data quality and security throughout all processes.
• Automate workflow monitoring and proactively resolve data issues.

Qualifications

• Proficiency in Python and SQL.
• Significant experience in Google Cloud Platform (especially Dataflow and DataStream).
• Experience with Terraform, Dataform, and orchestration with Composer/Airflow.
• Experience managing code in git repositories.
• Experience working with Azure DevOps workflows.
• Familiarity with ServiceNow change management processes.
• Strong communication skills.
• Ability to manage multiple priorities in a remote, team-oriented environment.

Requirements

• Develop and deploy data pipelines, integrations, and transformations to support analytics and machine learning applications.
• Maintain an understanding of the organization's current solutions, coding languages, and tools.
• Provide consultative services to departments/divisions and leadership committees.
• Demonstrated experience in designing, building, and installing data systems.
• Partner with product owners and Analytics and Machine Learning delivery teams.
• Conduct exploratory analysis, pipeline and transform data to help identify and visualize trends.
• Build and validate analytical models.
• Translate qualitative and quantitative assessments into actionable insights.

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.