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Lead Data Engineer

Description

UPMC Enterprises is hiring a Lead Data Engineer to join the Data Engineering Team! 
 
The Data Engineering team is comprised of first-class analysts and engineers that provide data support for development opportunities and create custom end-to-end integration solutions. The ideal candidate for the Lead Data Engineer is a motivated data enthusiast that is looking to mentor and manage a pool of talented Data Engineers in addition to leading complex integration projects utilizing SDLC principles and following a SCRUM methodology.
 
If you are looking for an opportunity to step into a leadership position and work within a space where there is upward growth to learn new and exciting things, then we encourage you to apply today! 

Responsibilities:
  • Accept and sign off on Junior members' work if required.
  • As a project needs access to data to solve an issue, the data engineer will be responsible to plan and execute the necessary steps to propose a solution to get the appropriate data.
  • Lead a team on the research and implementation on a larger project, which will consist of multiple data models, maps, and workflows. Be the contact for the team and participate in the prioritization and execution of the work.
  • Work with Engineering on best implementation and use of the data to solve a business problem.
  • Work independently on user stories, can own and work on story grooming and execution when needed.
  • Own an area of expertise within the common healthcare systems. Act as an SME within the team and the go-to person with questions in area of expertise.
  • Participation in the Data Engineering group Kanban process, with appropriate attention paid to grooming, prioritization, definition of ready, definition of done.
  • As this position feeds the scrum process for the engineering teams, delivery of the work in a timely manner and at a high quality is paramount. Estimation of work effort and drive to complete on time is necessary.
  • Assist in the education and mentoring of new members of the team, primarily in process and procedure.
  • Ability to work cooperatively and constructively with many other teams and roles. Be a problem solver.
  • Act as a data SME for common healthcare systems. Understand the data, its usage and meaning
  • This position is ultimately responsible to address the organization's need for accurate, timely and thoughtful data analysis work using the resources within the organization.
  • Own the KPI for the team being led and look at ways to increase efficiencies and quality.
  • Participate in implementation as needed. Can be as an advisor, or in some cases SQL or engineering work may be required (Mirth).
  • Act as a representative of the team with stakeholder groups. Facilitate interactions for items such as grooming, prioritization, acceptance with key members of the stakeholder group.
  • Work with management on strategic decisions around workflow and process. Look for areas where team can increase throughput without sacrificing quality.
  • The data engineer is responsible document the data and sources in a way that can be executed on by an engineering group.

Qualifications

  • Bachelor's Degree in Computer Science or healthcare-related field and 7+ years relevant experience or equivalent combination of education and experience required.
  • Must have knowledge of regulatory requirements, and healthcare domain experience.
  • Relational database design and development.
  • SQL programming fundamentals.
  • Knowledge of Health Care Finance and Operations is desirable.
  • Prior expertise with EPIC, CERNER, Imaging or healthcare financial data.
  • Prior Informatics work is a plus.
  • Prior team leadership and supervision is a plus.
Preferred Qualifications: 
  • Experience with Scrum Methodology is a plus 
Flexible work arrangements are available

Licensure, Certifications, and Clearances:

UPMC is an Equal Opportunity Employer/Disability/Veteran

Location: Pittsburgh, PA, United States
Job ID: 502591812

UPMC is an equal opportunity employer.
Minority / Females / Veterans / Individuals with Disabilities