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Job Description

Senior Data Engineer role focused on building and maintaining compliant data systems and pipelines for business needs.

Responsibilities

  • Partner with a project team to define and document data and data pipeline requirements across multiple solutions.
  • Own the technical delivery of data systems and pipelines to ensure alignment with data standards, architectural standards, and documented requirements.
  • Create and keep current state documentation and other deliverables for data solutions.
  • Maintain and improve both existing and new data solutions to continue meeting user needs.
  • Support operational teams with guidance to maintain continuity of service.
  • Participate in the Data Engineering community of practice to identify and implement continuous improvement opportunities.
  • Perform work independently with a high degree of latitude.
  • Handle the most complex issues and apply expert subject-matter knowledge.
  • Interact effectively and professionally with others across various levels of a global organization.

Requirements

  • Excellent analytical and problem-solving skills.
  • Ability to stay calm and receptive in fast-paced situations.
  • Demonstrated organizational, analytical, and interpersonal skills.
  • Ability to manage tasks independently and take ownership of responsibilities.
  • High-level specialist who regularly interacts and works with senior management.
  • Effective communication skills; ability to collaborate and work independently with minimal supervision.
  • Must sign non-competition and confidentiality agreements.
  • Comply with company policies including (without limitation): Cook Employee Manual, Cook Code of Conduct, Cook Electronic Information Policy, Product Complaints, HIPAA regulations, and Cook Policy & Guidance On Interaction with Healthcare Professionals.

Required Education & Experience

  • Bachelor’s Degree in Computer Science or other related degree (or experience providing comparable background).
  • 8+ years of experience.
  • Experience with relational SQL and NoSQL databases.
  • Experience with SQL Server, Oracle, and/or MongoDB (preferred).
  • Experience building data transformations, data structures, and data pipelines.
  • Experience with data integration tools.
  • Experience with object-oriented / object function scripting languages.
  • Demonstrated organizational, analytical, and interpersonal skills.
  • Ability to manage tasks independently and take ownership of responsibilities.

Technologies

  • Relational SQL
  • NoSQL databases
  • SQL Server
  • Oracle
  • MongoDB
  • Data transformations
  • Data structures
  • Data pipelines
  • Data integration tools
  • Object-oriented / object function scripting languages

Work Environment & Physical Requirements

  • General office environment conditions.
  • Sitting for extended periods; close visual acuity for computer and equipment work.
  • Must perform essential functions of the job subject to reasonable accommodation requirements under the ADA.
  • Occasional early morning or late evening teleconferences.
  • International and domestic travel as required.

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