{"id":1040571,"url":"https://alion.io/job/you-com-data-engineer","title":"Data Engineer","company":{"id":48277,"name":"You.com","domain":"you.com","url":"https://alion.io/company/you-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-05T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"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":null,"salary_estimate":{"min_usd":136000,"max_usd":265000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":960},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true}],"status":"live","first_seen_at":"2026-09-18T16:20:31Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-05T23:59:35Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"About Us\nAt You.com, we are building the AI Search Infrastructure that powers modern AI systems. Our goal is to create the trusted knowledge layer that agents, applications, and enterprises rely on to retrieve real-time, accurate, and citation-backed information.\nOur platform combines proprietary vertical indexes with LLM-optimized retrieval systems to power AI agents, applications, and enterprise workflows. We are solving hard problems across search, large language models, and large-scale infrastructure to make AI systems more reliable, transparent, and useful.\nOur team includes engineers, researchers, product builders, and operators who care about solving meaningful problems and delivering real-world impact. Whether you are improving core infrastructure, shaping product experiences, or helping bring new AI capabilities to market, your work will help define how modern AI finds and uses knowledge.\nAbout the Role\nWe are looking for a hands-on Data Engineer to help build and scale our modern data platform. In this role, you will work closely with Finance, Engineering, Product, and Analytics teams to develop reliable, high-performance data pipelines and systems.\nYou’ll contribute to both batch and real-time data processing using technologies like Databricks, AWS, kafka and several 3rd party data, while helping ensure data quality, accessibility, and usability across the organization. You’ll play a key role in enabling data activation, ensuring that high-quality data flows not only into the warehouse but also outward to business tools such as Salesforce etc. Additionally, you will help power next-generation AI-driven applications, including agent-based systems and AI driven tools using OSS tech, by building robust data foundations and pipelines. This is a great opportunity for someone who enjoys solving data challenges end-to-end from ingestion to insights.\nResponsibilities\nBuild and maintain scalable data pipelines (batch and streaming) using tools such as Databricks, Spark, Kafka, and AWS services\nBuild and maintain pipelines from source systems (Salesforce, billing, product events, API logs) into clean analytics layers\nDesign, develop, and optimize ETL/ELT workflows using DBT, PySpark, SQL, and tools like Fivetran\nWork closely with finance in developing Finance data solutions, Finance metrics and forecasting models\nPartner with Finance on revenue accounting, COGS, and margin reporting\nPartner closely with marketing and growth teams to enable data use cases such as segmentation, campaign targeting, and lifecycle analytics\nDevelop and maintain reverse ETL pipelines to sync data from the warehouse to tools like Salesforce, HubSpot, Braze, and other downstream systems\nCreate and manage curated datasets to support analytics, reporting, and go-to-market initiatives\nBuild and maintain dashboards and reporting layers to support marketing and business performance tracking\nSupport AI/ML and agent-based applications by preparing and serving high-quality datasets for MCP (Model Context Protocol) integrations and AI driven applications\nMonitor pipeline performance, troubleshoot issues, and ensure high data reliability and quality\nImplement data quality checks, validations, and alerting mechanisms across both ingestion and activation layers\nCollaborate with cross-functional teams to define data contracts and ensure consistency across systems\nQualifications\n6+ years of experience in data engineering or a related field\nStrong hands-on experience with Databricks, AWS (S3, Glue, Athena, EMR, etc.), and Kafka\nProficiency in Python (PySpark) and SQL for large-scale data processing\nExperience building and maintaining ETL/ELT pipelines (DBT/Airflow or similar experience preferred)\nExperience with data ingestion tools such as Fivetran (or similar)\nFamiliarity with reverse ETL / data activation workflows and syncing data to tools like Salesforce, HubSpot, Braze\nExposure to or experience with AI/ML data pipelines, including RAG architectures, vector databases, or embeddings workflows\nFamiliarity with agent-based systems, MCP integrations, or LLM-powered applications is a strong plus\nExperience working with Finance and building finance specific metrics and pipelines is a strong plus\nUnderstanding of data modeling and working with large-scale datasets (batch and streaming)\nExperience creating dashboards and supporting reporting workflows (BI tools) for both internal and external audiences\nStrong problem-solving skills and ability to debug production data issues\nStrong communication skills and ability to work collaboratively across teams\nOur salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations.\nSalary Band\n$180,000—$220,000 USD\nCompany Perks:\nHubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions\n\nFlexible PTO with U.S. holidays observed and an end of year shutdown in December to rest and recharge*\n\nA competitive health insurance plan covers 100% of the policyholder and 75% for dependents*\n\n12 weeks of paid parental leave in the US*\n\n401k program, 3% match - vested immediately!*\n\n$500 work-from-home stipend to be used up to a year of your start date*\n\n$600 technology stipend to support a portion of our hybrid/remote team's cell phone and internet expenses*\n$1,200 per year Health & Wellness Allowance to support your personal goals*\n\nThe chance to collaborate with a team at the forefront of AI research\n\n*Certain perks and benefits are limited to full-time employees only\nYou.com participates in E-Verify. We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s Form I-9 to confirm work authorization. (English/Spanish: E-Verify Participation /Right to Work) We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process.\nBeware of Recruiting Scams:\nYou.com will only contact you through official @You.com email addresses and will never ask for payment or sensitive personal information during the hiring process.\nUse of AI Tools During Our Hiring Process:\nAt You.com, we're thoughtful about how we use AI throughout our business - including our hiring process.\nDuring certain stages of the interview process, we may use AI-powered tools to assist with administrative tasks such as scheduling, note-taking, transcription, or summarizing interview discussions. These tools are intended to support our interviewers by improving accuracy and efficiency - they do not make hiring decisions or replace human judgment.\nAll employment decisions are made by our recruiting team and hiring managers based on a holistic review of each candidate and applicable evaluation criteria.\nIf AI-assisted note-taking or transcription may be used during your interview, we will notify you in advance. If you prefer not to participate in an interview that uses these tools, you may opt out by informing your recruiter before your scheduled interview. We will work with you to provide an alternative interview experience where reasonably practicable.\nInformation collected during the hiring process is handled in accordance with our Privacy Policy and applicable law. By continuing with the application process, you acknowledge that you have read this notice. If AI-assisted tools are used during your interview and you have not opted out after receiving notice, you consent to their use as described above, where permitted by applicable law.","description_format":"text","description_chars":7724,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Health insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-18T18:53:11Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":202500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":76,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.842,"p_room":0.9,"age_days":16,"expected_fill_days":45,"reasons":["conf:0","win:mid"],"computed_at":"2026-10-05T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/you-com-data-engineer","json_url":"https://alion.io/job/you-com-data-engineer.json","meta":{"generated_at":"2026-10-06T02:08:44Z","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","counted_by":"address","units_charged":1,"used_today":3165,"day_limit":5000,"remaining_today":1835,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"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":48277},"rest":"https://alion.io/mcp/rest/get_company?id=48277"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fyou-com-data-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%2Fyou-com-data-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%2Fyou-com-data-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/you-com-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fyou-com-data-engineer"}]}