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Senior Data Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Senior Data Engineer (AI) (Go/Scala/ClickHouse): Building scalable data pipelines, services, and internal data products for company-wide decision-making with an accent on reliability, performance, data quality, and AI-ready data layers. Focus on designing agentic AI architectures, curating richly modeled datasets for predictive analytics and LLM-enabled features, and improving ingestion, observability, and governance across distributed systems.

Location: Austin, United States — hybrid

Company

hirify.global operates a global network that protects and accelerates Internet applications for customers ranging from individual bloggers to Fortune 500 companies.

What you will do

  • Design and implement scalable, performant, and maintainable data pipelines and services in Go and Scala.
  • Partner with engineers, analysts, and product stakeholders on strategic initiatives, business-critical data products, and agentic AI architectures.
  • Evolve the data platform architecture by improving scalability, reliability, observability, and data correctness.
  • Build and curate well-modeled, contextual datasets for internal products, predictive analytics, and LLM-enabled features.
  • Improve data ingestion, quality, and governance across the ecosystem while collaborating with data and systems engineers in Austin, Lisbon, and London.
  • Lead design reviews, share knowledge, mentor colleagues, and raise data engineering and AI implementation standards.

Requirements

  • Bachelor’s or master’s degree in computer science, engineering, statistics, mathematics, or a related quantitative field, or equivalent practical experience.
  • 5+ years of professional experience building and operating production data systems in data engineering, software engineering, or related roles.
  • Strong programming skills in Go, Python, or JVM-based languages, with experience developing production-grade services and pipelines.
  • Deep SQL knowledge and experience with data modeling and relational, analytical, or vector databases such as PostgreSQL, MySQL, or ClickHouse.
  • Experience building scalable, reliable, and observable data pipelines, with knowledge of performance, data quality, and operational best practices.
  • Strong problem-solving and communication skills, including experience driving projects in ambiguous environments and working cross-functionally.

Nice to have

  • Experience with container-based deployments using Docker and Kubernetes.
  • Familiarity with Google Cloud Platform or LLM orchestration frameworks.

Culture & Benefits

  • Medical, dental, and vision insurance, flexible spending accounts, and commuter spending accounts.
  • Fertility and family-forming benefits, mental health support, and an Employee Assistance Program.
  • Short- and long-term disability insurance, life and accident insurance, 401(k), and employee stock participation.
  • Flexible paid time off covering vacation and sick leave, plus parental, pregnancy health, medical, and bereavement leave.
  • Offer-stage applicants may be asked to attend an in-person interview at a hirify.global office or hub.

Hiring process

  • Applicants progressing to the offer stage may be asked to attend an in-person interview at a hirify.global office or hub.
  • Access to information protected by U.S. export control laws may require authorization to receive controlled technology without export-license sponsorship.

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