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3 часа назад

Lead Data Informaticist (Databricks)

117 600 - 161 700$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Data Informaticist (Databricks): Building governed data products, scalable ETL/ELT pipelines, metadata, and analytical standards for healthcare pharmacy analytics with an accent on data quality, business rules, and AI-assisted self-service analysis. Focus on integrating claims, membership, marketing, operational, and financial data, evaluating Databricks Genie One outputs, and designing repeatable analytical capabilities.

Location: Remote nationwide within the United States; occasional travel to hirify.global offices for training or meetings may be required.

Salary: $117,600–$161,700 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a healthcare company operating CenterWell services, including senior-focused primary care, home healthcare, specialty care, hospice, and pharmacy.

What you will do

  • Design, develop, test, deploy, document, and maintain scalable ETL/ELT pipelines and curated analytical data products in Databricks.
  • Build reusable data models integrating pharmacy claims, membership, marketing, operational, financial, and other healthcare domains.
  • Define metadata, lineage, data definitions, analytical grain, source relationships, business rules, KPI logic, and approved methodologies.
  • Develop governed data environments that support reliable AI-assisted and self-service analytics, including Databricks Genie One.
  • Evaluate AI-generated analytical answers, identify data and governance gaps, and create solutions involving new data, integrations, metadata, or business logic.
  • Provide technical leadership through architecture guidance, design standards, peer review, mentoring, testing, deployment, and cross-functional collaboration.

Requirements

  • Bachelor’s degree in a technology, quantitative, analytics, informatics, or related field, or equivalent professional experience.
  • Seven or more years of experience in data analytics, informatics, business intelligence, data engineering, analytical engineering, or a related discipline.
  • Strong SQL skills and experience developing complex analytical transformations, reusable data assets, and ETL/ELT pipelines.
  • Experience with data modeling, data quality, reconciliation, testing, metadata, lineage, documentation, and analytical governance.
  • Experience working with healthcare, payer, claims, pharmacy, or other complex healthcare datasets.
  • Ability to provide technical leadership and explain architecture, data limitations, and analytical implications to technical and non-technical audiences.

Nice to have

  • Significant hands-on experience with Databricks, Databricks Genie One, or similar AI-assisted analytical tools.
  • Experience with Python or another programming language used for data engineering, automation, testing, or advanced analytics.
  • Experience with pharmacy or prescription claims, payer, PBM, Medicare, mail-order pharmacy, or related healthcare environments.
  • Experience developing semantic layers, reusable measures, enterprise KPI definitions, data catalogs, lineage, governance, and access controls.
  • Master’s degree in a related discipline.

Culture & Benefits

  • Full-time schedule of 40 hours per week with remote work from a dedicated space.
  • Home internet must provide at least 25 Mbps download and 10 Mbps upload speeds.
  • Work must protect member PHI and HIPAA information from ongoing interruptions.
  • Benefits include medical, dental and vision coverage, 401(k), paid time off, holidays, parental and caregiver leave, disability coverage, and life insurance.
  • Additional compensation may be available through a company or individual performance-based bonus plan.

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