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6 дней назад

Staff Data Engineer, Tech Lead (AI)

243 000 - 285 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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