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13 часов назад

Data Solutions Engineer (AI)

Формат работы
remote (только USA)
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

Текст:
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TL;DR
Data Solutions Engineer (AI): Building customer-facing data workflows, integrations, reporting pipelines, and AI-powered automation with an accent on APIs, SQL, Python, and modern data infrastructure. Focus on designing bespoke customer solutions, optimizing LLM workflows, and productizing repeatable patterns in a newly established technical services function.

Location: US (Remote); willingness to travel up to 60% to work on-site with customers is required.

Company

AI-driven financial data platform providing automated reporting and benchmarking tools for investors and portfolio companies.

What you will do

  • Partner with customers to diagnose data challenges and design integrations, recurring workflows, and custom reports.
  • Deploy and optimize AI-powered tools and workflows, and explain prompt engineering and LLM capabilities to customers and internal teams.
  • Build importers, parsers, reporting pipelines, and internal tooling to reduce manual work and improve platform reliability.
  • Perform custom SQL reporting, bulk data operations, backend queries, and bespoke data operations.
  • Own API schemas, ingestion cadence, error handling, Snowflake data shares, and database connections.
  • Identify repeatable customer patterns, translate them into product requirements, and support small engineering fixes affecting customer workflows.

Requirements

  • 3–5+ years of experience in a customer-facing technical role such as solutions engineering, data engineering, or technical account management.
  • Strong SQL skills, including complex queries, ad-hoc analysis, and relational data models.
  • Proficiency in Python for scripting, data manipulation, and workflow automation.
  • Hands-on experience designing, consuming, and debugging REST API integrations.
  • Familiarity with Snowflake, dbt, or similar data warehouse and pipeline tools.
  • Strong communication, ownership, and ability to work effectively in ambiguous environments.

Nice to have

  • Experience with prompt engineering, LLM workflows, AI-forward tooling, or configuring MCP servers and AI agents.
  • Experience with Zapier, n8n, Make, or similar data integration tools.
  • Exposure to fund accounting, investment data workflows, B2B SaaS, fintech, venture capital, or private markets.
  • Finance or Computer Science degree.

Culture & Benefits

  • Remote-first environment designed for a dispersed workforce.
  • Health, dental, and vision coverage with 100% coverage in the USA; international employees receive matching local health coverage.
  • Flexible vacation, with employees commonly taking 3–4 weeks in addition to holidays.
  • Paid parental leave, including 12 weeks for new parents in the USA and matching local standards internationally.
  • Transparent access to business metrics and financial information, plus recurring company offsites.

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