Senior Data Engineer

Senior Data Engineer

This job is no longer open

City

Rochester

State

Minnesota

Telecommute

Yes

Department

Information Technology

Why Mayo Clinic

Mayo Clinic is the nation's best hospital (U.S. News & World Report, 2020-2021) and ranked #1 in more specialties than any other care provider. We have a vast array of opportunities ranging from Nursing, Clinical, to Finance, IT, Administrative, Research and Support Services to name a few. Across all locations, you’ll find career opportunities that support diversity, equity and inclusion. At Mayo Clinic, we invest in you with opportunities for growth and development and our benefits and compensation package are highly competitive. We invite you to be a part of our team where you’ll discover a culture of teamwork, professionalism, mutual respect, and most importantly, a life-changing career!

Mayo Clinic offers a variety of employee benefits. For additional information please visit Mayo Clinic Benefits. Eligibility may vary.

Position 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.

Collibra knowledge including Data Intelligence Cloud, Collibra Console, Collibra Core APIs/Workflows, Collibra REST APIs/Automation, Native Ingestion, Lineage Harvester, Collibra Data Governance Center and experience in Collibra Workflow development with groovy is desired.

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. In-depth business or practice knowledge will also be considered.

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

Additional qualifications

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.

License or certification

Google Cloud Platform (GCP) certification is required at the point of hire or within one year. Epic Clarity certification is required at the point of hire or within one year.

Exemption status

Exempt

Compensation Detail

Required education, experience, and tenure may be considered along with internal equity when job offers are extended.  The salary range every 2 weeks is approx. $4,818 -$6,987 based on a full-time position.

Benefits eligible

Yes

Schedule

Full Time

Hours / Pay period

Full Time

Schedule details

Monday - Friday, 7 AM to 4 PM, or as determined by supervisor.

Site description

This vacancy may be open to full time telework candidates within the U.S./ reasonable travel to a Mayo facility if ever a business need/ meeting or client-facing. Mayo Clinic has facilities in Minnesota, Wisconsin, Arizona, and Florida.

Category

IT and Engineering

Career profile

Information Technology

Job posting number

158914BR

Recruiter

Karissa Wirt

Equal opportunity employer

As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.

This job is no longer open
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