обновлено 3 дня назад
Senior Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 office or hub.
Hiring process
- Applicants progressing to the offer stage may be asked to attend an in-person interview at a 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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