Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$243к-285к/год
$150к$190кмедиана$220к
По похожим ролям (48) ~ $190к/год
На СНГ рынке: $5.9к/мес ($3.9к - $8.3к)
91
Крутая вакансия
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Чётко описанная роль технического лидера по данным предлагает зарплату выше рыночной, заметную зону влияния и сочетание развития платформы данных с AI; главный компромисс - широкий круг ответственности в быстрорастущем стартапе.
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Широкая зона ответственностиВыше рынкаФокус на AIПотенциал ростаФинтех-направление
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Engineer, Tech Lead (AI): Designing and scaling a cloud-based data platform for a fintech serving the trucking industry with an accent on data ingestion, architecture, governance, and machine learning deployment. Focus on leading cross-functional platform initiatives, building reliable batch and streaming pipelines, and applying AI and agentic workflows to data engineering.
Location: Palo Alto, California, United States; hybrid work with remote flexibility within the US
Base salary: $243,000–$285,000 per year, plus equity
Company
hirify.global is a fintech platform modernizing the US trucking and logistics industry through fleet fuel management solutions for owner-operators and small fleets.
What you will do
Own the technical direction, architecture, standards, and design decisions for data engineering.
Lead high-impact, cross-functional initiatives from scoping through delivery and represent data engineering in staff leadership forums.
Architect reliable, high-throughput batch and streaming ingestion frameworks for internal systems, third-party APIs, and event data.
Build machine learning deployment infrastructure, including feature pipelines, model serving, and production monitoring.
Define data schemas, lifecycle practices, governance, quality controls, metadata, lineage, security, and privacy standards.
Mentor engineers and partner with product, engineering, analytics, compliance, Operations, Finance, and Risk stakeholders.
Requirements
8+ years of data engineering experience, including 3+ years in senior or staff-level roles.
Experience as a technical lead owning direction for a team or major platform area and delivering multi-quarter initiatives.
Hands-on experience with AI-assisted and agentic engineering in data work.
Expertise in batch and streaming ingestion, cloud-native data platforms such as Snowflake, BigQuery, Databricks, or Redshift, and machine learning deployment infrastructure.
Strong SQL and Python skills, with knowledge of data warehouse methodologies, dimensional and normalized modeling, distributed systems, governance, security, and compliance.
Experience with orchestration and metadata tools such as Airflow, Dagster, Prefect, dbt, DataHub, or Amundsen, plus strong communication and mentoring skills.
Nice to have
Experience influencing senior leaders and cross-functional stakeholders across a growing organization.
Culture & Benefits
Collaborative, high-growth startup environment with opportunities for significant career growth.
Health benefit options, responsible time off, and 401(k) matching.
Commuter benefits, lunches and snacks, and an annual company offsite.
Competitive salary and equity.
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