20 часов назад
Senior Data & AI Engineer (AI)
139 400 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data & AI Engineer (AWS/Databricks): Building scalable, cloud-native data pipelines and production-grade multi-agent AI applications with an accent on AWS, Databricks, Snowflake, dbt, RAG, and vector databases. Focus on integrating structured and unstructured data through MCP and tool-calling patterns, enabling data-grounded AI applications, and ensuring production readiness and system reliability.
Location: Hartford, Connecticut, United States
Annual base salary: $139,400–$230,000, plus eligibility for performance-based cash incentive awards.
Company
is a property and casualty insurer with more than 170 years of industry experience, focused on customer service, innovation, and collaboration.
What you will do
- Build, operationalize, and optimize complex data solutions, including transformations, data cleansing, and quality improvements.
- Design scalable data architectures that incorporate new sources and align with enterprise data strategies.
- Analyze complex data sources and determine their value for analytical processes.
- Apply data governance, security, and quality practices across data products and pipelines.
- Serve as a data and technology subject matter expert, partnering with business teams and educating users on data and analytics environments.
- Analyze and resolve complex data and system defects and incidents while supporting delivery and production readiness.
Requirements
- Bachelor’s degree in computer science, a related STEM field, or equivalent education and experience.
- At least six additional years of data engineering experience; the broader profile requests ten years of related experience.
- Expertise building scalable, self-healing, cloud-native distributed data pipelines with AWS native services and/or Databricks, loading enterprise platforms such as Snowflake.
- Hands-on experience with dbt and framework-based cloud-native pipeline architectures.
- Experience designing production-grade multi-agent AI applications with AWS AgentCore, Databricks AgentBricks, or similar orchestration frameworks.
- Knowledge of LLM APIs, RAG, vector databases, embeddings, MCP, tool-calling patterns, automated testing, and modern software engineering practices.
Culture & Benefits
- 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, plus a -funded pension plan.
- At least 20 paid time-off days annually and nine paid company holidays.
- Wellness resources, mental health counseling, health coaching, and caregiving support.
- Volunteer and charitable giving programs, including matching gifts and volunteer rewards.
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