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2 дня назад

Data Engineer II (AI)

104 000 - 135 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Data Engineer II (Databricks/Spark): Building and evolving scalable data platforms, real-time and batch pipelines, and customer-facing data stores with an accent on AWS, distributed systems, and data reliability. Focus on optimizing ingestion and storage performance, preparing data for ML/LLM workflows, and solving complex production issues across security, quality, and observability.

Location: Austin, Texas, United States; flexible and remote-friendly work options are available, with an Austin office.

Base salary: $104,000–$135,000 per year

Company

hirify.global is a cybersecurity product company that uses darknet data, advanced analytics, and AI to protect identities and disrupt cybercrime.

What you will do

  • Design, build, and improve scalable data systems with a focus on performance and reliability.
  • Use Databricks and Spark to prepare, transform, and serve data to customers and downstream systems.
  • Build and maintain real-time and batch pipelines using AWS services, Terraform, and the Databricks ecosystem.
  • Optimize the cost and performance of data ingestion, transformation, and storage workflows.
  • Own complex data engineering initiatives from design and development through deployment and production support, including on-call troubleshooting.
  • Partner with Product Management, hirify.global Labs, and Engineering on architecture, data quality, security, observability, and AI/ML data workflows.

Requirements

  • 5+ years of professional experience in data engineering, software engineering, or a related discipline.
  • Experience with Lakehouse, Databricks, or large-scale distributed data architectures in AWS.
  • Strong Python development skills for data-intensive systems and hands-on experience with ETL and data-processing pipelines.
  • Experience with Elasticsearch or OpenSearch, DynamoDB, and other AWS-native data services.
  • Experience with Terraform, production troubleshooting, data quality, performance, and reliability issues.
  • Ability to independently own complex technical projects and contribute to architectural decisions across technical and non-technical teams.

Nice to have

  • Familiarity with SageMaker, LangChain, vector databases, and other AI/ML tools.
  • Knowledge of data governance, privacy, and compliance in AI and ML environments.
  • Experience with observability tools, Go or C, and cybersecurity datasets or technologies.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related STEM field.

Culture & Benefits

  • Mission-driven, innovative, collaborative, and inclusive work environment focused on disrupting cybercrime.
  • Full-time benefits include 401(k) employer contribution, health, vision, and dental insurance, and an employer-contributed HSA.
  • Employer-paid life, short-term disability, and long-term disability insurance.
  • Generous PTO, 16 paid holidays, and flexible remote-friendly work options.
  • Visa sponsorship is not available at this time.

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