Employer Direct Healthcare
Employer Direct Healthcare
Employer Direct Healthcare o‘z tibbiy sug‘urtasini o‘zi moliyalashtiradigan tashkilotlarga xodimlariga yuqori sifatli va hamyonbop ixtisoslashtirilgan tibbiy yordam ko‘rsatishda ko‘maklashadi. Kompaniya Lantern Specialty Care Platform platformasi orqali a’zolarni rejalashtirilgan muolajalar, saraton kasalligini davolash va infuzion yordam uchun sinchiklab tanlangan jarrohlar hamda tibbiyot muassasalari tarmog‘i bilan bog‘laydi. Uning tibbiy yordam modeli shifokor va muassasani tanlash, kelishilgan tariflar hamda davolanish jarayonining barcha bosqichlarida ko‘makni birlashtiradi. Shuningdek, qishloq va shaharlik jamoalardagi a’zolar sifatli tibbiy yordamga avtomobilda yetib borish mumkin bo‘lgan masofada ega bo‘lishiga alohida e’tibor qaratadi.

Senior Data Warehouse Engineer - Hybrid

Build and optimize ELT pipelines and analytical data models for Lantern’s specialty healthcare platform. Work with Azure Data Factory, Fivetran, dbt, Python, and SQL to improve data reliability and analytics performance.

Tavsif

  • Develop and maintain scalable ELT workflows with Azure Data Factory, Fivetran, and dbt
  • Track pipeline health, investigate failures, and resolve issues to maintain dependable data delivery
  • Collaborate with data analysts to translate business needs into efficient, clearly documented dbt data models
  • Update and improve data models as analytical requirements evolve
  • Administer and optimize the Lantern Analytic Platform
  • Evaluate query performance and apply appropriate data partitioning strategies
  • Improve data models to increase processing speed and operational efficiency

Talablar

  • Bachelor’s degree in computer science or a related discipline, or equivalent practical experience
  • At least five years of professional experience as a data engineer, data warehouse engineer, or comparable specialist developing production data pipelines
  • At least five years of production experience programming with Python and SQL
  • At least two years of hands-on Databricks experience, including Spark or PySpark, Delta Lake, and Workflows
  • Practical experience creating ELT or ETL pipelines with platforms such as Azure Data Factory, Fivetran, or dbt
  • Strong knowledge of data warehousing, including the design, development, and optimization of data models such as dimensional models
  • Experience tuning query and pipeline performance
  • Experience supporting analytics and reporting users while collaborating with analysts and cross-functional partners
  • Regular hands-on use of AI coding tools such as Claude Code or Copilot in engineering work
  • Preferred: Familiarity with Databricks Genie or Snowflake Cortex
  • Preferred: Background in healthcare

Imtiyozlar

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Short- and long-term disability coverage
  • Life insurance
  • 401(k) with company matching
  • Flexible time off
  • Paid parental leave

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