{"id":438391,"url":"https://alion.io/job/omni-software-engineer-growth-data-platform","title":"Software Engineer, Growth Data Platform","company":{"id":171878,"name":"Omni","domain":"omni.co","url":"https://alion.io/company/omni-3","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":90,"open_postings":5,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Cursor","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Python","optional":false},{"name":"Slack","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-07-01T06:12:34Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-25T05:01:02Z","board_verified":true,"closed_at":null,"days_open":116,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":115},"description":"About Omni\nOmni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives teams a governed context graph, so everyone gets the same trusted answer. Ask in plain English, refine in workbooks, or bring your data into tools like Claude, ChatGPT, Cursor, and Slack.\nOur team has spent decades building data platforms, and we started Omni to fix problems we saw firsthand. Today, we help customers like Condé Nast, BambooHR, and Synthesia get better answers from their data. We're headquartered in San Francisco and have raised $217M from top investors including ICONIQ, Theory Ventures, and Redpoint Ventures. Our latest $120M Series C valued us at $1.5B.\nIf you like helping people get more from their data, come build with us. We’d love to hear from you.\nResponsibilities\nBuild and scale the data platform that turns messy GTM signals into reliable, auditable workflows\n\nDesign queues, and workers for enrichment, routing, assignment, and activation\n\nIntegrate external data sources and APIs across CRM, sales engagement, ads, first and third party intent, and enrichment vendors\n\nWork directly with various GTM teams to turn one-off experiments into reusable platform primitives\n\nDebug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream business systems\n\nAbout You\n2+ years of experience building data platforms, backend systems, workflow engines, or data / ML infrastructure\n\nDeep experience with analytical data systems such as Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, Dagster, or similar tools\n\nTrack record of owning complex, end-to-end systems that serve real users or business-critical workflows\n\nClear judgment about data modeling, schema evolution, contracts, lineage, and long-term maintainability\n\nYou care whether the workflow actually works, whether customers trust it, and whether downstream teams can explain the output\n\nStrong debugging instincts\n\nTech Stack\nYou are not expected to have experience with every tool listed below, but you should be excited to work across data infrastructure, backend services, and orchestration.\nSnowflake as the warehouse and operational data store for modeled data, queues, workflow state, and activation outputs\n\ndbt for transformation, data models, and tests\n\nDagster for orchestration of scheduled jobs, dependency-aware workflows, and operational retries\n\nAWS Batch and Lambda for custom workers, vendor enrichment jobs, webhook handling, and stateful background processing\n\nFivetran\n\nPython and SQL\n\nTerraform and GitHub Actions\n\nSoda\n\nOmni\n\n Location\nThis role allows for a hybrid schedule in our SF headquarters. If you are based anywhere else in the US, the role is remote.\nWhy Join Us\nPassionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\nHealth, dental, and vision insurance\n\n401(k) Plan (for US-based roles)\n\nUnlimited PTO\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. 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