13 часов назад
Data Solutions Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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