Principal Data Engineer - Enterprise Data & Analytics - Remote/ 4 days ago
Quick Summary
Why Mayo Clinic
Join Mayo Clinic, a top-ranked care provider recognized by U.S. News & World Report for excellence across numerous specialties. We prioritize patient needs while investing in our employees through competitive compensation, comprehensive benefit plans, and continuous opportunities for education and career advancement. Build a long, successful career with Mayo Clinic, where your well-being and professional growth are valued.
Benefits Highlights
- 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.
Responsibilities
The Principal Data Engineer is a hands-on technical authority, defining and implementing enterprise-scale data architecture and data engineering strategies. This role actively contributes to solution design, development, optimization, and technical delivery within an assigned product team. You will develop and deploy data pipelines, integrations, and transformations to support analytics and machine learning applications using open-source programming languages and vendor software. The position requires a strong understanding of current solutions, coding languages, tools, and the Enterprise Data and Analytics technology framework. You will apply independent judgment, provide consultative services to departments and leadership, and partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, transform data, visualize trends, build and validate analytical models, and translate assessments into actionable insights.
Key responsibilities:
This is a hands-on engineering role. Employees are expected to actively design, develop, review, and optimize production code and platform capabilities while providing technical leadership and mentorship to engineering teams.
Qualifications
A Bachelor's degree in engineering, mathematics, computer science, information technology, health science, or another analytical/quantitative field with a minimum of seven years of professional or research experience in data visualization, data engineering, or analytical modeling techniques is required. Alternatively, an Associate's degree in a relevant analytical/quantitative field with a minimum of nine years of professional or research experience in data visualization, data engineering, or analytical modeling techniques will be considered. In-depth business or practice knowledge is also valued.
The incumbent must manage a varied workload with multiple priorities, stay current on healthcare trends, and adapt to enterprise changes. Strong interpersonal skills, time management, and demonstrated experience working on cross-functional teams are essential. This role requires strong analytical skills, 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 are also necessary.
- Advanced experience in SQL is required.
- Advanced 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, or Kafka is required.
- Experience with big data, statistics, and machine learning is required.
- Ability to navigate Linux and Windows operating systems is required.
- Knowledge of workflow scheduling (Apache Airflow, Google Composer), Infrastructure as Code (Kubernetes, Docker), and CI/CD (Jenkins, Github Actions) is required.
- Experience in DataOps/DevOps and agile methodologies is required.
- 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.
The preferred candidate will possess:
- Expert-level proficiency in Python and SQL with extensive experience developing enterprise-scale production systems.
- Advanced expertise in scalable distributed computing frameworks and modern data processing platforms.
- Advanced experience implementing and governing open data architectures utilizing Apache Iceberg, Delta Lake, Apache Hudi, and related technologies.
- Deep understanding of modern analytical storage formats including Parquet, Avro, and ORC.
- Demonstrated expertise in lakehouse architecture, data platform design, and large-scale data engineering practices.
- Experience architecting and implementing cloud-agnostic solutions across multiple technology ecosystems.
- Experience designing highly scalable, fault-tolerant, secure, and observable data platforms supporting analytics, AI, machine learning, and operational workloads.
- Experience establishing enterprise engineering standards, architecture patterns, and modernization strategies.
Job Details
- Exemption Status: Exempt
- Compensation Detail: $155,500.80 - $225,492.80/ year. Education, experience, and tenure may be considered along with internal equity when job offers are extended.
- Benefits Eligible: Yes
- Schedule: Full Time
- Hours/Pay Period: 80
- Schedule Details: M-F daytime hours, 100% remote role. Employee must reside within the US.
- Weekend Schedule: As business needs dictate
- International Assignment: No
Site Description
Mayo Clinic's reputation extends beyond its Minnesota roots, with locations across Phoenix/Scottsdale, Arizona; Jacksonville, Florida; Rochester, Minnesota; Mayo Clinic Health System campuses throughout Midwestern communities; and international locations. Each Mayo Clinic site offers a unique environment where employees thrive professionally and personally. Learn more about our campuses and find your best fit.
Equal Opportunity
All qualified applicants receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status, or disability status. Learn more about the "EOE is the Law". 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.
Recruiter: Laura Percival