{"id":439576,"url":"https://alion.io/job/standard-metrics-data-solutions-engineer","title":"Data Solutions Engineer","company":{"id":171936,"name":"Standard Metrics","domain":"standardmetrics.io","url":"https://alion.io/company/standard-metrics","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":168000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":100},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"dbt","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"n8n","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Zapier","optional":false}],"status":"live","first_seen_at":"2026-07-27T20:18:23Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-23T12:13:20Z","board_verified":true,"closed_at":null,"days_open":87,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":87},"description":"Standard Metrics is an AI-driven financial data platform that helps investors and their portfolio companies make more informed, forward-looking decisions with automated reporting and benchmarking tools. We’re a team of optimistic product builders on a mission to accelerate innovation in the private markets. Standard Metrics is backed by 8VC and Spark Capital, along with other leading VCs and angels, and is currently a trusted partner for many of the top VC/PE firms in the world.\nCome Build With Us \nThe Data Solutions Engineer sits at the intersection of Customer Experience and Engineering at Standard Metrics. You'll be the dedicated technical owner for customer-facing data workflows, integrations, and AI-driven automation, while working across a book of customers to understand their data problems and build solutions that make Standard Metrics stickier and more impactful in their day-to-day workflows.\nThis is not a pure engineering role, and it's not a pure customer-facing role. You'll need both the technical depth to architect and execute solutions across APIs, SQL, data pipelines, and AI tooling, as well as the communication skills to work directly with customers to diagnose needs, set expectations, and deliver results. You'll be deeply embedded with our Data Solutions and Customer Success teams, acting as a technical extension of the customer.\nThis role is a foundational hire for a nascent services function at Standard Metrics. There's no established playbook here - you'll help write it. If you're energized by ambiguity, by the prospect of defining what \"technical services\" looks like for a product like ours, and by building something that didn't exist before, this is that opportunity.\nWhat You’ll Do\nPartner directly with customers to identify data challenges and design technical solutions - connecting data sources, configuring integrations, automating recurring workflows, and deploying custom reports\nDeploy 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\nBuild and extend internal tooling (importers, parsers, and reporting pipelines) to reduce manual burden on the Customer Experience team and improve platform reliability\nExecute bespoke data operations such as custom SQL reports, bulk data operations, and backend queries for customers with unique data needs\nOwn API schemas, ingestion cadence, error handling, Snowflake data shares, and database connections\nIdentify repeatable patterns across customers and translate them into product requirements, filing tickets and partnering with Engineering to productize solutions\nSupport 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\nCarry 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\nWhat You’ll Bring\n3-5+ years of experience in a technical role with a customer-facing component - solutions engineering, data engineering, technical account management, or similar\n2+ years experience in fintech, venture capital, or private markets\nStrong SQL skills and ability to write complex queries, perform ad-hoc data analysis, and work with relational data models\nProficiency in Python for scripting, data manipulation, and workflow automation\nHands-on experience with REST APIs: designing, consuming, and debugging integrations\nGenuine curiosity about AI. Experience with prompt engineering, LLM-based workflows, or AI-forward tooling is a strong plus\nWillingness to travel to work on-site with customers\nFamiliarity with modern data infrastructure such as Snowflake, dbt, or similar data warehouse and pipeline tools\nStrong communication and ability to translate technical concepts clearly for non-technical stakeholders\nHigh ownership mentality. You identify problems proactively and drive solutions without waiting to be asked\nConfidence 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\nBonus: 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\nFinance and/or Computer Science degree strongly preferred\nHealth 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.\nFlexible 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.\nPaid parental leave: 12 weeks of paid leave for all new parents in the USA. Internationally we match parental leave standards in your area.\nComplete transparency: Everyone has full access to business metrics and financial information about the company.\nRegular 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.\nWe encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will thrive with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at .","description_format":"text","description_chars":6059,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Dental insurance","Parental leave","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Asset Management & Funds","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-06T07:20:46Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.405,"p_room":0.28,"age_days":87,"expected_fill_days":40,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/standard-metrics-data-solutions-engineer","json_url":"https://alion.io/job/standard-metrics-data-solutions-engineer.json","meta":{"generated_at":"2026-10-23T13:56:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":20828,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":171936},"rest":"https://alion.io/mcp/rest/get_company?id=171936"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstandard-metrics-data-solutions-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fstandard-metrics-data-solutions-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fstandard-metrics-data-solutions-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/standard-metrics-data-solutions-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstandard-metrics-data-solutions-engineer"}]}