17 часов назад
Senior Data Engineer (AI)
160 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI): Building scalable ETL pipelines, data infrastructure, and internal frameworks that enable ML engineers to develop, deploy, and iterate on AI-powered features with an accent on reliability, observability, and data quality. Focus on designing prompt engineering pipelines, supporting ML workflows, and enforcing engineering best practices across the AI/ML organization.
Location: Remote
Salary: $160,000–$210,000 per year, plus stock options, benefits, and additional perks.
Company
is an AI-native platform transforming the insurance industry through agentic AI across the full policy lifecycle.
What you will do
- Build robust ETL pipelines that enable user-facing product features.
- Collaborate with data science, product management, software engineering, analytics, and product support teams.
- Contribute to architecture decisions, observability tooling, and data quality initiatives.
- Develop scalable internal frameworks for prompt engineering pipelines and other AI workflows.
- Improve code quality, testing, documentation, and engineering practices across the AI/ML organization.
Requirements
- 5+ years of experience in data engineering, backend engineering, or related data infrastructure roles.
- Experience designing and maintaining scalable data pipelines using tools such as Airflow, Dagster, or Prefect.
- Strong proficiency in SQL and Python.
- Experience with version control, CI/CD, cloud infrastructure, and technologies such as AWS, GCP, Terraform, or dbt testing strategies.
- Ability to work through ambiguity and understand data needs with business stakeholders.
- Track record of designing high-impact data products and pipelines in fast-paced environments.
Nice to have
- Typescript or similar software development experience.
- Experience in insurance, fintech, or risk modeling.
- Exposure to MLOps or AI/ML-driven products.
- Experience building internal tools or frameworks, contributing to open-source data tools, or participating in the data community.
Culture & Benefits
- First-principles approach to problem solving and rapid iteration.
- Strong focus on listening to users, learning, and adapting decisions.
- Stock options, benefits, and additional perks included in the total compensation package.
- Equal-opportunity workplace with reasonable accommodation available during hiring and employment.
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