Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше среднего
$109к-180к/год
$86к$110кмедиана$140к
По похожим ролям (50) ~ $110к/год
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Хорошая вакансия
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Хорошая зарплата, сильный пакет льгот и работа с GenAI в production делают вакансию привлекательной, но широкий диапазон оплаты и требования выше уровня junior размывают понимание грейда.
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Грейд не сходитсяШирокий диапазонСовременный стекВыше рынкаСильные льготы
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer I (AWS, Python, GenAI) (Data Engineering/AI): Building and operationalizing data pipelines and solutions that support artificial intelligence, machine learning, and business intelligence with an accent on AWS, Python, data quality, and production large language model applications. Focus on designing transformations, integrating RAG and agent-based systems, debugging unfamiliar data environments, and delivering reliable analytical data products.
Location: Hybrid in Hartford, Connecticut; other location in St. Paul, Minnesota. Applicants must be authorized to work for any employer in the United States.
Annual base salary: $109,300–$180,200.
Company
hirify.global is a property and casualty insurer with more than 170 years of industry experience, focused on customer, community, collaboration, and innovation.
What you will do
Build, operationalize, and maintain complex data solutions, including data cleansing, quality improvements, transformations, and defect resolution.
Design data solutions and analyze source systems to determine data value for analytical processes.
Apply data governance, data security, and data quality practices.
Test data movement, transformation code, and data components.
Collaborate across teams, support delivery, and educate end users on data products and analytical environments.
Perform data and system analysis and resolve moderately complex defects and incidents.
Requirements
Bachelor’s degree in computer science, a related STEM field, or equivalent education and/or work experience.
At least 2 additional years of software or data engineering experience.
Six years of related experience, including 3+ years in a data engineering role and additional IT or engineering experience totaling 7+ years.
2+ years of machine learning or artificial intelligence experience using Python.
Experience with a cloud platform such as AWS, Azure, or Google Cloud; AWS is preferred, including services such as S3, IAM, Lambda, Secrets Manager, and EC2.
Experience deploying production applications with large language models, including familiarity with agents, prompt engineering, retrieval-augmented generation, and fine-tuning.
Proficiency with cloud platforms, programming languages, data manipulation tools and techniques, and software engineering practices.
Ability to deliver work at a steady, predictable pace, decompose assignments into small-batch releases, and contribute to trade-off and negotiation discussions.
Domain expertise, technical knowledge of immediate systems, problem-solving and debugging skills, strong verbal and written communication, and intermediate leadership skills with a record of identifying personal growth opportunities.
Culture & Benefits
Hybrid work environment rooted in collaboration and innovation.
Health insurance for employees and eligible family members from the first day of employment.
Dollar-for-dollar 401(k) matching up to the first 5% of eligible pay, a student-loan savings program, and a hirify.global-funded pension plan.
At least 20 paid time-off days annually plus nine paid company holidays.
Wellness, mental health, caregiving, volunteer, and charitable matching programs.
Hiring process
The role has one target opening.
hirify.global may fill the position at a level above or below the level stated in the posting.
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