We make sense of data to drive your business forward. #MakeSenseofData #DriveYourBusinessForward #PartnerYourWay
Lead Data Engineer
Location
United States
Posted
8 days ago
Salary
Not specified
No structured requirement data.
Job Description
Project Managers oversee project planning, execution, and delivery. Responsibilities include managing project teams, developing project plans, and ensuring projects meet objectives and deadlines. You will work with stakeholders to address project issues and drive successful outcomes. Strong experience in project management and leadership skills are required.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Report Data Architect designing enterprise data architecture for business intelligence
Senior Data Engineer
Mayo ClinicMayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. We are 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. Continuing education and advancement opportunities available Employees located at major campuses in Phoenix/Scottsdale, Arizona; Jacksonville, Florida; Rochester, Minnesota; and at Mayo Clinic Health System campuses throughout Midwestern communities Each Mayo Clinic location is a special place where employees thrive in both their work and personal lives 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.
The role involves architecting and maintaining automated data pipelines for ingesting, transforming, and integrating complex datasets using GCP tools like DataStream and Dataflow, while leveraging Composer/Airflow for scheduling and Terraform/Dataform for infrastructure management. Duties also include translating business needs into pipeline specifications, optimizing data models, and ensuring data quality and security across all processes.
Senior Data Engineer
Mayo ClinicMayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. We are 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. Continuing education and advancement opportunities available Employees located at major campuses in Phoenix/Scottsdale, Arizona; Jacksonville, Florida; Rochester, Minnesota; and at Mayo Clinic Health System campuses throughout Midwestern communities Each Mayo Clinic location is a special place where employees thrive in both their work and personal lives 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.
The role involves architecting and maintaining automated data pipelines for ingesting, transforming, and integrating complex datasets using tools like DataStream and Dataflow, while leveraging Composer/Airflow for scheduling and automation. Core duties also include translating business needs into pipeline specifications, building data models, and ensuring data quality and security across all processes.
Microsoft Fabric Specialist / Data Warehouse Engineer
Apex CompaniesApex Companies is one of the fastest growing engineering and environmental consulting firms in the US, recognized by the Zweig Group as one of the fastest growing firms in the AEC industry. We take pride in providing our clients with exceptional service and have earned numerous awards for project excellence. We continue to grow, and we want you to grow with us.
The role focuses on designing, implementing, and optimizing solutions within Microsoft Fabric for data integration, analytics, and governance across the enterprise. Responsibilities include developing and maintaining lakehouses, dataflows, and pipelines while collaborating with stakeholders to build robust data models.