Benepass
Benepass
Benepass एक एचआर टेक्नोलॉजी कंपनी है, जो लोगों को प्राथमिकता देने वाले संगठनों के लिए एक लचीला लाभ प्लेटफ़ॉर्म तैयार करती है। इसका सॉफ़्टवेयर नियोक्ताओं को स्वास्थ्य बचत खातों, लचीले खर्च खातों, वेलनेस और पेशेवर विकास जैसे क्षेत्रों में व्यक्तिगत कार्यक्रम उपलब्ध कराने में मदद करता है। कार्ड-केंद्रित टूल, स्वचालित नामांकन और रीयल-टाइम सहभागिता मेट्रिक्स के साथ, Benepass को लाभ प्रशासन सरल बनाने और कंपनियों को आज के कार्यबल की विविध आवश्यकताओं का समर्थन करने में सहायता देने के लिए बनाया गया है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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