{"id":1190849,"url":"https://alion.io/job/alpaca-staff-analytics-engineer","title":"Staff Analytics Engineer","company":{"id":3826,"name":"Alpaca","domain":"alpaca.markets","url":"https://alion.io/company/alpaca","size_band":"501-1000","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":74,"open_postings":7,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":68,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE","FR","AE","GB","AT","BE","BA","BG","HR","CY","CZ","DK","EG","FI","HU","IE","IL","IT","KE","NL","NG","NO","PL","RO","SA","RS","ZA","ES","SE","CH","TR","UA","AL","DZ","AD","AO","BH","BJ","BW","BF"],"hiring_countries_total":115,"salary":null,"salary_estimate":{"min_usd":85000,"max_usd":202000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":137},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-09-24T14:59:24Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T16:43:11Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Who We Are:\nAlpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.\nAmongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.\nOur global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.\nAlpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.\nOur Team Members:\nWe're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!\nWe're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values-Stay Curious, Have Empathy, and Be Accountable-and are ready to make a significant impact, we encourage you to apply.\nAbout the Role:\nWe are seeking an Analytics Engineer to own and execute the vision for our data transformation layer. You will be at the heart of our data platform, which processes hundreds of millions of events daily from a wide array of sources, including transactional databases, API logs, CRMs, payment systems, and marketing platforms.\nYou will join our 100% remote team and work closely with Data Engineers (who manage data ingestion) and Data Scientists and Business Users (who consume your data models). Your primary responsibility will be to use dbt and Trino on our GCP-based, open-source data infrastructure to build robust, scalable data models. These models are critical for stakeholders across the company-from finance and operations to the executive team-and are delivered via BI tools, reports, and reverse ETL systems.\nWhat You'll Do:\nOwn the Transformation Layer: Design, build, and maintain scalable data models using dbt and SQL to support diverse business needs, from monthly financial reporting to near-real-time operational metrics.\nSet Technical Standards: Establish and enforce best practices for data modelling, development, testing, and monitoring to ensure data quality, integrity (up to cent-level precision), and discoverability.\nEnable Stakeholders: Collaborate directly with finance, operations, customer success, and marketing teams to understand their requirements and deliver reliable data products.\nIntegrate and Deliver: Create repeatable patterns for integrating our data models with BI tools and reverse ETL processes, enabling consistent metric reporting across the business.\nEnsure Quality: Champion high standards for development, including robust change management, source control, code reviews, and data monitoring as our products and data evolve.\nWhat You Need (Must-Haves):\n4+ years of experience in analytics engineering or data engineering with a strong focus on the \"T\" (transformation) in ELT.\nProven track record of owning data products end-to-end, applying analytics and data engineering best practices to ensure data quality, scalability, and robust data models. \nComfortable working with ambiguity and collaborating with stakeholders to define requirements; able to take ownership with minimal oversight in a fast-paced environment. \nExperience proactively identifying and implementing improvements to data warehouse performance and ETL efficiency. \nTechnical Versatility:\nExpert-level SQL and DBT skills for complex queries and data transformations. \nProficiency in Python for transformations that extend beyond SQL.\nHands-on experience with query optimization across OLTP and OLAP systems (e.g., Postgres, Iceberg).\nProficiency with Semantic Layer modelling (e.g. Cube, dbt Semantic Layer).\nExperience owning CI/CD workflows and establishing team-wide standards for version control and code review (e.g., Git). \nFamiliarity with cloud environments (GCP or AWS).\nNice to Haves:\nExperience with data ingestion tools (e.g., Airbyte) and orchestration tools (e.g., Airflow).\nDomain experience for brokerage operations or a passion for financial markets and modelling financial datasets.\nHow We Take Care of You:\nCompetitive Salary & Stock Options\nHealth Benefits\nNew Hire Home-Office Setup: One-time USD $500\nMonthly Stipend: USD $150 per month via a Brex Card\nAlpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.\n\nRecruitment Privacy Policy","description_format":"text","description_chars":5071,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Stock options"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"region"},{"name":"France","iso":"FR","kind":"region"},{"name":"United Arab Emirates","iso":"AE","kind":"region"},{"name":"United Kingdom","iso":"GB","kind":"region"},{"name":"Austria","iso":"AT","kind":"region"},{"name":"Belgium","iso":"BE","kind":"region"},{"name":"Bosnia and Herzegovina","iso":"BA","kind":"region"},{"name":"Bulgaria","iso":"BG","kind":"region"},{"name":"Croatia","iso":"HR","kind":"region"},{"name":"Cyprus","iso":"CY","kind":"region"},{"name":"Czech Republic","iso":"CZ","kind":"region"},{"name":"Denmark","iso":"DK","kind":"region"},{"name":"Egypt","iso":"EG","kind":"region"},{"name":"Finland","iso":"FI","kind":"region"},{"name":"Hungary","iso":"HU","kind":"region"},{"name":"Ireland","iso":"IE","kind":"region"},{"name":"Israel","iso":"IL","kind":"region"},{"name":"Italy","iso":"IT","kind":"region"},{"name":"Kenya","iso":"KE","kind":"region"},{"name":"Montenegro","iso":null,"kind":"region"},{"name":"Netherlands","iso":"NL","kind":"region"},{"name":"Nigeria","iso":"NG","kind":"region"},{"name":"Norway","iso":"NO","kind":"region"},{"name":"Poland","iso":"PL","kind":"region"},{"name":"Romania","iso":"RO","kind":"region"},{"name":"Saudi Arabia","iso":"SA","kind":"region"},{"name":"Serbia","iso":"RS","kind":"region"},{"name":"South Africa","iso":"ZA","kind":"region"},{"name":"Spain","iso":"ES","kind":"region"},{"name":"Sweden","iso":"SE","kind":"region"},{"name":"Switzerland","iso":"CH","kind":"region"},{"name":"Turkey","iso":"TR","kind":"region"},{"name":"Ukraine","iso":"UA","kind":"region"},{"name":"Albania","iso":"AL","kind":"region"},{"name":"Algeria","iso":"DZ","kind":"region"},{"name":"Andorra","iso":"AD","kind":"region"},{"name":"Angola","iso":"AO","kind":"region"},{"name":"Bahrain","iso":"BH","kind":"region"},{"name":"Benin","iso":"BJ","kind":"region"},{"name":"Botswana","iso":"BW","kind":"region"},{"name":"Burkina Faso","iso":"BF","kind":"region"},{"name":"Burundi","iso":"BI","kind":"region"},{"name":"Cameroon","iso":"CM","kind":"region"},{"name":"Cape Verde","iso":"CV","kind":"region"},{"name":"Chad","iso":"TD","kind":"region"},{"name":"Central African Republic","iso":"CF","kind":"region"},{"name":"Comoros","iso":"KM","kind":"region"},{"name":"Democratic Republic of the Congo","iso":"CD","kind":"region"},{"name":"Djibouti","iso":"DJ","kind":"region"},{"name":"Equatorial Guinea","iso":"GQ","kind":"region"},{"name":"Eritrea","iso":"ER","kind":"region"},{"name":"Estonia","iso":"EE","kind":"region"},{"name":"Eswatini","iso":"SZ","kind":"region"},{"name":"Ethiopia","iso":"ET","kind":"region"},{"name":"Faroe Islands","iso":"FO","kind":"region"},{"name":"Gabon","iso":"GA","kind":"region"},{"name":"Gambia","iso":"GM","kind":"region"},{"name":"Georgia","iso":"GE","kind":"region"},{"name":"Ghana","iso":"GH","kind":"region"},{"name":"Greece","iso":"GR","kind":"region"},{"name":"Guinea","iso":"GN","kind":"region"},{"name":"Guinea-Bissau","iso":"GW","kind":"region"},{"name":"Iceland","iso":"IS","kind":"region"},{"name":"Iraq","iso":"IQ","kind":"region"},{"name":"Isle of Man","iso":"IM","kind":"region"},{"name":"Ivory Coast","iso":"CI","kind":"region"},{"name":"Jordan","iso":"JO","kind":"region"},{"name":"Kosovo","iso":null,"kind":"region"},{"name":"Kuwait","iso":"KW","kind":"region"},{"name":"Latvia","iso":"LV","kind":"region"},{"name":"Lebanon","iso":"LB","kind":"region"},{"name":"Lesotho","iso":"LS","kind":"region"},{"name":"Liberia","iso":"LR","kind":"region"},{"name":"Liechtenstein","iso":"LI","kind":"region"},{"name":"Lithuania","iso":"LT","kind":"region"},{"name":"Luxembourg","iso":"LU","kind":"region"},{"name":"Madagascar","iso":"MG","kind":"region"},{"name":"Malawi","iso":"MW","kind":"region"},{"name":"Mali","iso":"ML","kind":"region"},{"name":"Malta","iso":"MT","kind":"region"},{"name":"Mauritania","iso":"MR","kind":"region"},{"name":"Mauritius","iso":"MU","kind":"region"},{"name":"Mayotte","iso":"YT","kind":"region"},{"name":"Moldova","iso":"MD","kind":"region"},{"name":"Monaco","iso":"MC","kind":"region"},{"name":"Morocco","iso":"MA","kind":"region"},{"name":"Mozambique","iso":"MZ","kind":"region"},{"name":"Namibia","iso":"NA","kind":"region"},{"name":"Niger","iso":"NE","kind":"region"},{"name":"North Macedonia","iso":"MK","kind":"region"},{"name":"Oman","iso":"OM","kind":"region"},{"name":"Palestine","iso":"PS","kind":"region"},{"name":"Portugal","iso":"PT","kind":"region"},{"name":"Qatar","iso":"QA","kind":"region"},{"name":"Republic of the Congo","iso":"CG","kind":"region"},{"name":"Réunion","iso":"RE","kind":"region"},{"name":"Rwanda","iso":"RW","kind":"region"},{"name":"Saint Helena and Ascension","iso":"SH","kind":"region"},{"name":"San Marino","iso":"SM","kind":"region"},{"name":"São Tomé and Príncipe","iso":"ST","kind":"region"},{"name":"Senegal","iso":"SN","kind":"region"},{"name":"Seychelles","iso":"SC","kind":"region"},{"name":"Sierra Leone","iso":"SL","kind":"region"},{"name":"Slovakia","iso":"SK","kind":"region"},{"name":"Slovenia","iso":"SI","kind":"region"},{"name":"Somalia","iso":"SO","kind":"region"},{"name":"South Sudan","iso":"SS","kind":"region"},{"name":"Svalbard","iso":"SJ","kind":"region"},{"name":"Tanzania","iso":"TZ","kind":"region"},{"name":"Togo","iso":"TG","kind":"region"},{"name":"Tunisia","iso":"TN","kind":"region"},{"name":"Uganda","iso":"UG","kind":"region"},{"name":"Western Sahara","iso":"EH","kind":"region"},{"name":"Zambia","iso":"ZM","kind":"region"},{"name":"Zimbabwe","iso":"ZW","kind":"region"},{"name":"Gibraltar","iso":"GI","kind":"region"},{"name":"Vatican","iso":"VA","kind":"region"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services"],"lifecycle":[{"event":"open","at":"2026-09-24T16:43:11Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":68,"reasons":["conf:1","win:early"],"computed_at":"2026-09-24T18:32:37Z"},"pay":null,"html_url":"https://alion.io/job/alpaca-staff-analytics-engineer","json_url":"https://alion.io/job/alpaca-staff-analytics-engineer.json","meta":{"generated_at":"2026-09-24T18:32:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}