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Benepass
Benepass
11 – 50 Xodimlar
HR texnologiyalariSog‘liqni saqlashSug‘urta
Benepass inson manfaatlarini ustuvor qo‘yadigan tashkilotlar uchun moslashuvchan imtiyozlar platformasini yaratuvchi HR texnologiyalari kompaniyasidir. Uning dasturiy ta’minoti ish beruvchilarga tibbiy jamg‘arma hisoblari, moslashuvchan xarajatlar hisoblari, sog‘lom turmush tarzi va professional rivojlanish kabi yo‘nalishlarda shaxsiylashtirilgan dasturlarni taklif qilishga yordam beradi. Kartaga asoslangan vositalar, avtomatlashtirilgan ro‘yxatdan o‘tish va real vaqt rejimidagi faollik ko‘rsatkichlari orqali Benepass imtiyozlarni boshqarishni soddalashtirish va kompaniyalarga bugungi ishchi kuchining turli ehtiyojlarini qo‘llab-quvvatlashga yordam berish uchun ishlab chiqilgan.
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Kompaniyadagi ish o‘rinlari

Senior Data Engineer — Remote, United States

Lead the architecture and operation of Benepass’s data platform, including pipelines, governed analytics, data quality, and AWS infrastructure. Build scalable systems that support secure reporting and data-driven product development.

USAmerika Qo‘shma Shtatlari
175 000 $ – 195 000 $ / yil
MasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisi
Amazon RedshiftAWSBigQueryKubernetesPythonSQLTerraform

Tavsif

  • Lead the design and delivery of the data platform across the warehouse, replication, orchestration, transformation, and semantic layers
  • Build dependable pipelines from Aurora/RDS and application databases into the warehouse while addressing PII, multi-tenancy, and data residency requirements
  • Operate orchestration and scheduling systems with recovery mechanisms and observability
  • Improve query performance and control costs through query design, materialization, incremental models, partitioning, and warehouse optimization
  • Develop data quality controls, automated tests, validation processes, lineage, documentation, and metadata
  • Establish data models, slowly changing dimensions, tenant access controls, and row-level security approaches
  • Work with Engineering to define source data contracts, close instrumentation gaps, and manage schema changes
  • Create dbt staging-to-mart models and Cube models and measures for governed BI and product reporting
  • Configure Cube row-level security and improve query performance through pre-aggregations, caching, and materialized views
  • Help analysts and data scientists extend models, write safe queries, and produce reports
  • Collaborate with Product, Engineering, Customer Operations, GTM, Sales, Finance, analysts, and data scientists on data initiatives
  • Manage monitoring, alerting, incident response, post-mortems, deployment processes, testing frameworks, refresh triggers, and observability
  • Keep runbooks and onboarding documentation current
  • Guide the data platform roadmap and assess real-time, streaming, CDC, catalog, and BI capabilities
  • Ensure data infrastructure follows AWS, Kubernetes, infrastructure, and security practices
  • Participate in company-wide onsite events three times each year

Talablar

  • At least five years of data engineering experience, with increasing responsibility for platform architecture, data pipelines, and data quality
  • Strong SQL and Python skills, including experience delivering production data pipelines on modern data stacks
  • Practical experience with data warehouses such as Redshift, Snowflake, or BigQuery and with dbt
  • Experience building and operating data replication pipelines using CDC, DMS, Airbyte, Fivetran, or comparable tools
  • Strong knowledge of dimensional modeling, data grain, slowly changing dimensions, and data quality practices
  • Experience with semantic layers or metrics platforms such as Cube, LookML, or MetricFlow, plus governed BI metrics
  • Familiarity with AWS data services including RDS, S3, Redshift, DMS, and Lambda, along with infrastructure as code; Terraform is preferred
  • Experience handling PII, multi-tenant data, row-level security, and compliance requirements in regulated industries
  • Clear written and verbal communication skills
  • Alignment with a high-ownership, high-trust working culture
  • Based in the United States and legally authorized to work there, as confirmed through the application questions

Imtiyozlar

  • 95% coverage for medical, dental, and vision plans
  • One-time $250 allowance for a work-from-home setup
  • $500 annual learning and development benefit
  • $150 monthly cell phone and internet benefit
  • $100 monthly wellness benefit
  • $100 monthly co-working and commuter benefit
  • Several team onsite events each year
  • Flexible paid time off
  • Equity

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