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9 часов Π½Π°Π·Π°Π΄

Data Engineer II, GenAI

126Β 500 - 208Β 700$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Data Engineer II, GenAI (AWS/Databricks): Building scalable cloud-native data pipelines and production-grade multi-agent AI applications for enterprise analytics with an accent on data quality, governance, RAG, vector databases, and structured and unstructured data integration. Focus on designing self-healing distributed pipelines, implementing tool-calling with MCP, and delivering context-aware, data-grounded AI applications at scale.

Location: Hartford, Connecticut, United States

Annual base salary: $126,500–$208,700, plus eligibility for performance-based cash incentive awards.

Company

hirify.global is a property and casualty insurance company focused on serving customers and communities through innovation and collaboration.

What you will do

  • Build, deploy, and operationalize complex data solutions and scalable cloud-native data pipelines.
  • Design data architectures and analyze complex sources for use in enterprise analytics.
  • Apply data transformations, cleansing, governance, security, and quality practices.
  • Design and deploy production-grade multi-agent AI applications.
  • Integrate structured and unstructured data through tool-calling patterns, including the Model Context Protocol.
  • Test data movement, transformation code, and data components while resolving complex defects and incidents.

Requirements

  • Bachelor’s degree in computer science, a related STEM field, or equivalent education and experience.
  • At least 4 additional years of data engineering experience; the broader profile requests 8 years of related experience.
  • Expertise with AWS-native services and/or Databricks for distributed data pipelines, with enterprise platforms such as Snowflake.
  • Hands-on experience with dbt and framework-based, cloud-native pipeline architectures.
  • Experience with multi-agent AI frameworks and runtimes such as AWS AgentCore or Databricks AgentBricks.
  • Strong knowledge of large language model APIs, RAG, vector databases, embedding strategies, modern software engineering, and cloud platforms.

Culture & Benefits

  • Health insurance coverage is available from the first day of employment for eligible employees and family members.
  • 401(k) contributions are matched dollar-for-dollar up to the first 5% of eligible pay, subject to an annual maximum.
  • Additional benefits include a pension plan, student loan savings support, at least 20 paid days off annually, and nine paid company holidays.
  • Wellness resources include mental health counseling, health coaching, caregiving support, tools, and discounts.
  • Volunteer and charitable giving programs support involvement in local communities.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’