Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли четкая зона ответственности уровня Staff и сильное сочетание развития платформы данных и AI, хотя широкий набор технических задач требует серьезного опыта на стыке направлений.
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Широкая ответственностьСовременный стекИнтеграция AIРазвитие внутри
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Engineer (AI): Building and owning a governed data platform for products, partners, analysts, and AI agents with an accent on trustworthy data products, semantic context, and secure data access. Focus on designing analytical data models, operating observable pipelines, implementing governance and authorization as code, and enabling auditable low-latency access across teams.
Location: Remote, United States.
Company
hirify.global is a consumer energy platform for discovering, purchasing, financing, installing, monitoring, and managing home energy products and services such as solar, battery storage, HVAC, and heat pumps.
What you will do
Own the technical design and direction of the data platform supporting products, partners, analysts, engineers, and AI agents.
Build governed data products spanning the customer journey from sales and lending through installation, interconnection, and system production.
Define semantic context, documentation, and interfaces so AI agents can answer from governed definitions with traceability to source data.
Implement classification, masking, access policies, change control, and compliance readiness for SOC 2 and related audits.
Build and operate ingestion and orchestration pipelines with CI/CD, observability, alerting, and SLAs.
Design secure, authorized, low-latency data access interfaces; review code, mentor teammates, and provide engineering templates and CI checks.
Requirements
8+ years of data engineering experience, including time at Staff or lead level owning a platform used by multiple teams.
Deep experience with SQL and Python.
Strong database fundamentals in a modern analytical warehouse such as Snowflake or BigQuery, including schema design, query plans, and distributed computing.
Deep experience with dbt or an adjacent transformation framework such as SQLMesh or Dataform.
Experience with ETL orchestration such as Fivetran or Airflow.
Experience with infrastructure as code and container orchestration on AWS, GCP, or Azure.
Demonstrated agentic engineering beyond prompting, including running coding agents in loops checked by specifications and tests.
Experience producing design documents that resolve cross-team architecture questions and communicating clearly with non-technical partners.
Working knowledge of API design, authentication and authorization such as OAuth/OIDC and RBAC, and PII handling.
Nice to have
Knowledge of reporting tools such as Looker and Hex.
Culture & Benefits
Promote-from-within culture with talent development, career growth, collaboration, impact, and balance.
Unlimited PTO, medical, dental, and vision coverage.
Paid parental leave and retirement plans.
Employment is contingent upon successful completion of a background check.
Hiring process
Employment is contingent upon successful completion of a background check.
AI may assist with application sorting, while final decisions are made by the hiring team.
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