Senior Data Engineer - Digital Pathology (Hybrid)

Mayo Foundation for Medical Education and Research

Rochester (MN)

Hybrid

USD 141,000 - 205,000

Full time

14 days+
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Benefits offered by this job

Medical plans
Dental plans
Vision plan
HSA/FSAs
Retirement package

Job summary

Mayo Clinic is seeking a data & analytics engineer to develop and deploy data pipelines, integrations, and transformations for analytics and machine learning applications as part of an assigned product team. The role requires expertise in SQL, scripting languages, Python/JavaScript, and hybrid data processing with Spark/Kafka, plus familiarity with BI tools and DevOps practices.

This hybrid position is located within 100 miles of the Mayo Clinic campus in Rochester, MN, with on-site expectations

Qualifications

  • Bachelor's degree in a relevant field with 5+ years of experience in data visualization/engineering/analytical modeling
  • Or an Associate’s degree with 7+ years of related experience
  • Advanced SQL required; strong scripting skills (Python, JavaScript, PHP, C++, Java)
  • Experience with batch and streaming data processing (Spark, Hive, Pig, Kafka)
  • Familiarity with BI tools: Tableau, Power BI, SAS, ThoughtSpot, d3, React, Snowflake, SSIS, BigQuery
  • Knowledge of GCP and DevOps concepts is preferred

Responsibilities

  • Develops and deploys data pipelines, integrations and transformations for analytics and ML applications
  • Partner with product owners and analytics teams to retrieve data and build models
  • Translate insights into actionable outcomes for stakeholders
  • Maintain understanding of current solutions, languages, tools within the organization
  • Hybrid data processing methods and DevOps practices are used to enable deployment

Skills

SQL
Python
JavaScript
C++
Java
API integration
Apache Spark
Kafka
Airflow
Kubernetes
Docker
CI/CD
DataOps/DevOps
Tableau
Power BI

Education

Bachelor's degree in engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field
Associate’s degree in a relevant field with 7 years of experience

Tools

Google Cloud Platform (GCP)
Denodo
Hadoop/Big Data tools

Job description

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans– to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

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

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.

This is a hybrid position and must be located within 100 miles of the Mayo Clinic campus in Rochester, MN for quarterly on-site expectations.

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.

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, 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. 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.

Exemption Status

Exempt

Compensation Detail

$141,024.00 - $204,526.40 / year

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

80

Schedule Details

Monday – Friday, 8:00 a.m. – 5:00 p.m. This is a hybrid position and must be located within 100 miles of the Mayo Clinic campus in Rochester, MN for quarterly on-site expectations.

Weekend Schedule

As needed.

International Assignment

No

Site Description

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.

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. Learn more about the'EOE is the Law'. Mayo Clinic participates inE-Verifyand 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

Joy Kundrata

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