3 часа назад
Lead Data Informaticist (Databricks)
117 600 - 161 700$
Мэтч & Сопровод
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Описание вакансии
Текст:
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 offices for training or meetings may be required.
Salary: $117,600–$161,700 per year, plus eligibility for a bonus incentive plan.
Company
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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