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Data Solutions Engineer

13 hours, 28 minutes ago
United States
Mid Level
Data Engineer
Software Development
dbt LLM Python REST API Snowflake SQL
Apply Now
Standard Metrics

Standard Metrics

Standard Metrics provides investment portfolio management software designed specifically for venture capital firms and startups, offering centralized collaboration tools that streamline portfolio reviews, enhance reporting to limited partners, and faci...

Capital Markets
11-50
$30M raised
View All Jobs 3

Description

  • Partner with customers to identify data challenges and design technical solutions.
  • Connect data sources, configure integrations, automate recurring workflows, and deploy custom reports.
  • Deploy and optimize AI-powered tools and workflows for customers.
  • Educate customers and internal teams on prompt engineering, LLM capabilities, and AI best practices.
  • Build and extend internal tooling such as importers, parsers, and reporting pipelines.
  • Execute bespoke data operations including custom SQL reports, bulk data operations, and backend queries.
  • Own API schemas, ingestion cadence, error handling, Snowflake data shares, and database connections.
  • Translate repeat customer patterns into product requirements and partner with Engineering to productize solutions.
  • Support internal engineering workflows by triaging and resolving small bugs and enhancements.
  • Carry a light book of data parsing work alongside the team.

Requirements

  • 3–5+ years of experience in a technical role with a customer-facing component such as solutions engineering, data engineering, or technical account management.
  • Strong SQL skills, including writing complex queries, performing ad-hoc analysis, and working with relational data models.
  • Proficiency in Python for scripting, data manipulation, and workflow automation.
  • Hands-on experience with REST APIs, including designing, consuming, and debugging integrations.
  • Curiosity about AI; experience with prompt engineering, LLM workflows, or AI-forward tooling is a strong plus.
  • Willingness to travel up to 60% of the time to work on-site with customers.
  • Familiarity with modern data infrastructure such as Snowflake, dbt, or similar warehouse and pipeline tools.
  • Strong communication skills and ability to translate technical concepts for non-technical stakeholders.
  • Experience in B2B SaaS, ideally in fintech, venture capital, or private markets.
  • High ownership mentality and comfort operating in ambiguity.
  • Bonus: experience with data integration tools such as Zapier, n8n, or Make; exposure to fund accounting and investment data workflows; or experience configuring MCP servers and AI agents.
  • Finance and/or Computer Science degree strongly preferred.

Benefits

  • 100% covered medical, dental, and vision insurance for employees and dependents in the USA.
  • International health coverage matched to local standards for employees and families.
  • Flexible vacation with no firm rules and typically 3–4 weeks off plus holidays.
  • 12 weeks of paid parental leave for new parents in the USA.
  • Remote-first work environment.
  • Regular company offsites to bring the team together in exciting destinations.
  • Full transparency into business metrics and company financial information.

Interested in this position?

Apply directly on the company website

Apply Now

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