CVS Health
CVS Health
CVS Health ir Amerikas Savienoto Valstu veselības aprūpes uzņēmums, kas darbojas veselības aprūpes pakalpojumu, veselības apdrošināšanas, aptieku pabalstu pārvaldības un mazumtirdzniecības aptieku jomā. Ar tādiem uzņēmumiem kā Aetna un CVS Caremark tas atbalsta veselības apdrošināšanas segumu, recepšu medikamentu pieejamību, veselības stāvokļa pārvaldību, specializētus medikamentus un medikamentu pasūtīšanu pa pastu. Uzņēmuma apkārtnes aptiekas un plašāki aprūpes pakalpojumi ir veidoti, lai cilvēki varētu ērtāk un izdevīgāk saņemt būtiski nepieciešamo veselības aprūpi. CVS Health apvieno apdrošināšanu, aptieku un veselības aprūpes pakalpojumus, lai atbalstītu cilvēkus un kopienas visā viņu aprūpes ceļā.

Senior Manager, Data Engineering

Lead CVS Health’s data engineering and database teams, platforms, and operations in this Florida-based remote role. Guide enterprise data capabilities with a focus on reliability, scalability, and continuous improvement.

Apraksts

  • Lead and develop data engineering and database teams.
  • Help shape workforce planning, organizational structure, and talent strategy.
  • Direct the design, delivery, support, and ongoing improvement of data platforms and operational data solutions.
  • Build scalable data ingestion, transformation, storage, and retrieval capabilities for analytics, reporting, and operations.
  • Strengthen operations through monitoring, performance tuning, resilience planning, root cause analysis, automation, and risk reduction.
  • Guide data engineering, database management, and selected platform and infrastructure work.
  • Advance data quality, governance, service reliability, disaster recovery, scalability, and platform health.
  • Work with engineering, architecture, infrastructure, security, and business partners.
  • Explain technical priorities, risks, and opportunities to senior business and IT leaders.
  • Encourage high engineering standards, collaboration, accountability, ongoing improvement, thoughtful innovation, and responsible use of AI tools.

Prasības

  • At least 7 years in data engineering, database engineering, data platform operations, or a related engineering field.
  • Experience overseeing enterprise data solutions, including pipelines, database environments, and operational support.
  • At least 7 years of SQL experience.
  • Strong background in database technologies, data modeling, and database performance tuning.
  • At least 5 years leading, managing performance, and developing engineering teams as a people leader or lead.
  • At least 5 years improving operational excellence, service stability, and technology operations in complex environments.
  • At least 5 years collaborating across engineering, infrastructure, security, architecture, and business teams.
  • At least 2 years of responsible use of AI-enabled tools.
  • Strong business judgment and communication skills.
  • Ability to engage and influence senior business and IT leaders.
  • Demonstrated analytical, problem-solving, and decision-making abilities.
  • Bachelor’s degree in computer science or equivalent work experience.
  • Preferred experience includes AWS, Azure, or Google Cloud; Python; Spark; data warehousing; modern data platform tools; platform engineering; infrastructure operations; resilience planning; disaster recovery; engineering modernization; or healthcare.

Priekšrocības

  • Bonus, commission, or short-term incentive program
  • Equity awards
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • Resources supporting physical, emotional, and financial well-being

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