{"id":510775,"url":"https://alion.io/job/getstream-io-lead-data-engineer","title":"Lead Data Engineer","company":{"id":184282,"name":"getstream_io","domain":"getstream.io","url":"https://alion.io/company/getstream-io","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boulder, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Sheets","optional":false},{"name":"IAM","optional":false},{"name":"Looker","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Stripe","optional":false},{"name":"Terraform","optional":false},{"name":"Claude","optional":true},{"name":"Cursor","optional":true},{"name":"Datadog","optional":true}],"status":"live","first_seen_at":"2026-09-07T14:16:56Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-16T03:19:11Z","board_verified":true,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":37},"description":"Lead Data Engineer, Revenue Operations\nAbout Stream\nStream powers real-time Chat, Video, Activity Feeds, and AI Moderation for billions of end-users across thousands of apps, from Strava and Bumble to eBay and Patreon. Our platform processes billions of API requests per month and supports applications with millions of concurrent users, while delivering highly reliable, low-latency services and a great developer experience.\nThe role\nThe data platform in this role is what our go-to-market and product decisions run on.\nYou'll own the pipelines, integrations, and central repository that bring Stream's data together, plus the models that turn it into something the business can trust. We're mid-migration to GCP, so there's real architecture to shape.\nTwo things make this different from most data jobs. A Revenue Operations team owns the stakeholder relationships and the business questions, so your time goes into building durable systems instead of chasing requirements. And analytics translation is increasingly handled by AI, which is exactly why the engineering underneath it has to be right. Data modeling is the core of this role.\nIt's a small team and a fast, unfinished environment. High drive, sometimes hectic. If you like owning a platform end to end, that's the appeal.\nThis is a full-time job opening based in Boulder (3 days hybrid).\nWhat you'll do\nBuild and evolve the ingestion platform. Python/dltHub pipelines loading into BigQuery, integrating Salesforce, Stripe, Postgres, PostHog, cloud billing, and other GTM systems. Design incremental loading, write dispositions, and scheduling, and make onboarding a new source predictable and low-risk.\n\nBuild the transformation layer. SQLMesh models across our layered architecture, clean and well-tested dimensional models, and clear conventions for grain, naming, and audit. Keep the core business models accurate: revenue waterfall, GTM funnel, marketing attribution, and product usage.\n\nImprove reliability. Expand data quality and observability, build freshness checks, reconciliation tests, and execution monitoring. Take point when data is stale, wrong, or late, and trace issues across pipelines, transformations, and upstream systems.\n\nOwn the platform infrastructure. BigQuery and supporting GCP, plus Terraform, IAM, service accounts, scheduled jobs, and deployment workflows, tuned for security, reliability, and cost.\n\nEnable the business. Deliver trusted datasets to Looker Studio, Google Sheets, and our internal CRM, and run reverse ETL back into operational systems like Salesforce.\n\nRaise the technical bar. Help shape engineering standards and architecture, review pipeline and model changes, and share context with the analysts and engineers who contribute to the platform.\n\nAbout you\nYou like owning a platform end to end and staying hands-on while you do it. You're comfortable in a small team, and you're energized by building rather than by growing an org around you. You influence through the work: architecture, code review, and clear conventions, not a title.\nYou have:\n5+ years building and operating production data platforms\n\nExpert SQL and strong Python\n\nExperience designing incremental, idempotent, well-tested pipelines\n\nSolid experience with BigQuery or another modern cloud data warehouse\n\nExperience with modern ELT tooling such as SQLMesh, dbt, dltHub, Fivetran, or Airbyte\n\nExperience with orchestration and CI/CD (GitHub Actions, Airflow, or equivalent)\n\nInfrastructure-as-code experience with Terraform or a close equivalent\n\nStrong data modeling skills: dimensional modeling, warehouse design, testing, and observability\n\nBonus points:\nRevenue Operations or GTM data experience\n\nSalesforce and Stripe data modeling\n\nProduct analytics platforms such as PostHog\n\nMarketing attribution and funnel analytics\n\nMRR, expansion, contraction, churn, and revenue reconciliation logic\n\nWorking closely with business stakeholders while keeping engineering discipline\n\nGCP depth, including IAM, service accounts, and BigQuery cost optimization\n\nWhy this one is worth a look\nYou own the data platform the whole company runs on, not one pipeline or one domain.\n\nYour work powers forecasting, commissions, pricing, churn analysis, product insight, and board reporting. The quality of your engineering shows up directly in how the company runs.\n\nThe stack is modern and AI-forward: Python, dlt, SQLMesh, BigQuery, Terraform, GitHub Actions, with Claude, Cursor, and Linear across the team.\n\nYou inherit a foundation that already works, built from scratch, so you evolve and harden it rather than start from zero.\n\nYou'll thrive here if\nYou want a broad, ambiguous platform to own and the autonomy to make calls on it\n\nYou ship fast and learn fast, even when things are unfinished\n\nYou're comfortable working with teammates across time zones\n\nYou probably won't if you want tightly scoped tickets, a fully defined process before acting, or a slow and highly predictable environment.\nWhy join Stream?\nWe're a Series B company with global presence and a team of around 145 people from more than 35 countries. We're backed by Felicis Ventures, GGV Capital, 01 Advisors, Techstars, and Arthur Ventures, with angels including Dick Costolo (ex-CEO of Twitter), Olivier Pomel (CEO of Datadog), Tom Preston-Werner (co-founder of GitHub), and Nicolas Dessaigne (co-founder of Algolia).\nWe'll be straight with you: a startup is more demanding than a large company. There's no fixed playbook, you'll own things end to end, and you'll sometimes pick up work outside your title. That's also what makes it a fast place to grow. If you want real ownership and high scale more than structure and a set career ladder, you'll feel at home here.\nWhat we offer\n19+ days of paid time off plus 10 paid holidays\n\nHybrid work flexibility (3 days a week from the office)\n\nFree health insurance for the employee and partial coverage for dependents (80% contribution coverage for health and 100% for dental and vision)\n\n401k contribution plan with 4% match\n\nFitness stipend\n\nCompany equity\n\nDog-friendly office!\n\nA Macbook Pro provided\n\nA Learning and Development budget\n\nTeam lunches and plenty of snacks\n\nRTD pass + free parking pass on Pearl Street\n\nAn office on Pearl Street in downtown Boulder\n\n12 weeks paid parental leave for primary parents\n\nThe opportunity to attend or present to global conferences and meetups\n\nThe possibility to visit our office in Amsterdam\n\nNote: this list of benefits applies to Colorado-based employees and is adjusted per your location of residence.\nSalary (for Colorado only): Our salary ranges are based on national averages. We have wide ranges so we can be flexible and determine compensation based on a number of factors including the candidate's skills, level of experience, and location. \nFor Colorado-based candidates we offer a salary $150,000 to $180,000 per year, plus stock options. Final offer within this range depends on experience and interview outcome.\n Hybrid office policy: applicants based (or relocating to) one of our office locations are expected to work according to the applicable local office attendance policy. \nEqual opportunity employer statement: Stream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.\nThis policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.\n Note for external recruiters: We currently have this role covered and do not accept unsolicited agency resumes. 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