Data Solutions Engineer

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🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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Standard Metrics

WebsiteLinkedInAll Job Openings

11 - 50 employees

☁️ SaaS

💸 Finance

🏢 Enterprise

SaaS • Finance • Enterprise

Standard Metrics is a company that provides a platform for automating portfolio reporting for venture capital (VC) teams and their portfolio companies. It is trusted by VC firms worldwide to streamline data collection, analytics, and investor relations. The platform aims to reduce the time spent on manual reporting, thereby enhancing efficiency and allowing users to focus on data analysis and investment strategies. Standard Metrics integrates with existing systems to centralize data, automate reporting, and facilitate effective communication between investors and companies.

📋 Description

• Partner directly with customers to identify data challenges and design technical solutions - connecting data sources, configuring integrations, automating recurring workflows, and deploying custom reports • Deploy and optimize AI-powered tools and workflows for customers; educate customers and internal teams on prompt engineering, LLM capabilities, and best practices for leveraging AI in their data operations • Build and extend internal tooling (importers, parsers, and reporting pipelines) to reduce manual burden on the Customer Experience team and improve platform reliability • Execute bespoke data operations such as custom SQL reports, bulk data operations, and backend queries for customers with unique data needs • Own API schemas, ingestion cadence, error handling, Snowflake data shares, and database connections • Identify repeatable patterns across customers and translate them into product requirements, filing tickets and partnering with Engineering to productize solutions • Support internal engineering workflows as a secondary function by helping to triage and resolve quality-of-life bugs and enhancements that are too small for core Engineering but directly impact the Customer Experience team and customers • Carry a light book of data parsing work alongside your teammates to stay grounded in the team's day-to-day workflows and build supporting solutions

🎯 Requirements

• 3–5+ years of experience in a technical role with a customer-facing component - solutions engineering, data engineering, technical account management, or similar • Strong SQL skills and ability to write complex queries, perform ad-hoc data analysis, and work with relational data models • Proficiency in Python for scripting, data manipulation, and workflow automation • Hands-on experience with REST APIs: designing, consuming, and debugging integrations • Genuine curiosity about AI. Experience with prompt engineering, LLM-based 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 data warehouse and pipeline tools • Strong communication and ability to translate technical concepts clearly for non-technical stakeholders • Experience in B2B SaaS, ideally in fintech, venture capital, or private markets • High ownership mentality. You identify problems proactively and drive solutions without waiting to be asked • Confidence operating in ambiguity. You don't need a fully defined playbook to get started, and you're energized rather than unsettled by the prospect of helping build one • Bonus: experience with data integration tools (Zapier, n8n, Make, or similar), 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

• Health and dental insurance: We cover you and your dependents' medical/dental/vision insurance 100% in the USA. Internationally we match local health coverage for you and your family. • Flexible vacation: Take time off when you need it! We find most employees take 3-4 weeks in addition to holidays, but there are no firm rules. We trust our employees to know what's best for them. • Paid parental leave: 12 weeks of paid leave for all new parents in the USA. Internationally we match parental leave standards in your area. • Complete transparency: Everyone has full access to business metrics and financial information about the company. • Regular offsites: While we are a remote-first company and build our communication, processes, and structures with a dispersed workforce in mind, we also love getting the team together. On a recurring basis, we fly the whole team out to an exciting destination to plan, bond, and innovate.