IT Senior Data Engineer - Remote

Jobs via Dice; Rochester (MN); Remote; USD 100,000 - 140,000; Full time

Job summary

Join Mayo Clinic as an IT Senior Data Engineer, working remotely to develop data solutions supporting analytics and machine learning. This role requires extensive experience in data systems and a Bachelor's degree in a relevant field. Ideal candidates will bring strong interpersonal skills and proficiency in Google Cloud technologies.

Benefits

Medical coverage with multiple plan options

Dental and vision insurance

Pre-tax savings options

Competitive retirement package

Qualifications

• Minimum 5 years of experience in data visualization or engineering.
• Expertise in Google Cloud Platform required, including several advanced tools.
• Strong analytical skills required for analysis and problem-solving.

Responsibilities

• Develops and deploys data pipelines and integrations for analytics and machine learning.
• Collaborates with product owners to identify and retrieve data.
• Conducts exploratory analysis and validates analytical models.

Skills

Data visualization

Data engineering

Analytical modeling techniques

Interpersonal skills

Time management skills

Problem resolution

Communication skills

Education

Bachelor's degree in engineering, mathematics, computer science, or related field

Associate's degree in relevant field with 7 years experience

Tools

Google Cloud Platform

Python

SQL

Terraform

Job description

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Job Description

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.

Job Description

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.

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 5 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 7 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.

Required hands-on Google Cloud Platform tech stack experience, including advanced skills in several of the following: Terraform, Google Cloud Platform Dataflow, Google Cloud Platform Big Query, Google Cloud Platform DataProc, Google Cloud Platform Data Fusion, Google Cloud Platform Change Data Stream, Python/SQL, Cloud Functions, Cloud Events, Cloud Composer.

Google Cloud Platform (Google Cloud Platform) certification is required or must be obtained within 2 years of employment.

Additional Preferred Skills: Google Cloud Platform DataPlex, MS Azure Cloud, Certifications in Data Engineering. Preferred experience coaching and mentoring team members to advance Google Cloud Platform skills.

Authorization to work and remain in the United States, without necessity for Mayo Clinic sponsorship now, or in the future (for example, ====, national, or permanent resident, refugee, or asylee). Also, Mayo Clinic does not participate in the F-1 STEM OPT extension program.

About Us

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.
  
  

About The Team

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 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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