{"id":3536197,"url":"https://alion.io/job/google-staff-data-engineer-trust-and-safety-tech-and-data-enablement","title":"Staff Data Engineer, Trust and Safety Tech and Data Enablement","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":149,"ghost_share":0.047,"stale_share":0.644,"repost_share":0.047,"time_to_fill_p50_days":30,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":141000,"max_usd":280000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":465},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"MySQL","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Dimensional Modeling","optional":true},{"name":"ETL/ELT","optional":true}],"status":"live","first_seen_at":"2026-10-30T14:13:35Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-01T08:19:59Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the job\nThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.\nAs a Staff Data Engineer supporting the Legal Content Policy and Standards (LCPS) team, you will lead the design and development of Google’s foundational, AI-ready data infrastructure to help Google comply with global content regulations and protect user safety. In this senior-level role, you will architect complex, scalable data pipelines from scratch and seamlessly integrate fragmented legacy systems into a unified Single Source of Truth based on Experience designing and building complex, production-level pipelines from scratch and integrate highly fragmented legacy databases (such as isolated transactional MySQL databases) into a modern data warehouse to build a unified reporting 'single source of truth'.\nYou will act as a trusted technical advisor, partnering closely with non-technical stakeholders-including policy leads and legal experts-to translate ambiguous regulatory requirements into robust data models and automated workflows by partnering with non-technical stakeholders (policy leads, legal specialists) and translate highly ambiguous regulatory requirements into a structured database schema.\n****Use this template only when existing Area Templates don't apply. For one-off use cases, not ongoing roles. If you need to create a NEW template for your team submit a request at go/jdreview.****\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $186000 - $269000 (USD) + 20% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nGuide consultations with cross-organizational partners to define data sources and validation standards, partnering with engineers and data scientists on ML training.\nOverseethe development of infrastructure and business solutions to scale common frameworks, and design secure data processing systems while advocatingfor best practices.\nDirectthe development and scaling of data models, pipelines, and exchange formats to reduce data fragmentation and increase data discoverability.\nLeverage, deploy, and continuously train ML models while implementing new storage and serving systems to scale across Data Engineering.\nManagedata profiling and analysis using existing data models and custom infrastructure to clarify client requirements and enable data-driven decision-making.\nQualifications\nMinimum qualifications:\nBachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.\n10 years of experience writing code using specialized languages and libraries (e.g., Python, R, SQL) for datasets.\n10 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).\nExperience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.\nPreferred qualifications:\n10 years of experience in designing robust, scalable, and synchronized pipelines, as well as dimensional modeling.\nExperience partnering with non-technical stakeholders to translate ambiguous business or regulatory requirements into structured technical designs targeting the preferred qualification of partnering with non-technical stakeholders\nInterpreting and designing data elements, structures, and relationships to deliver consistent and predictable data models. Designing and implementing complex ETL pipelines for synchronous and asynchronous system integration.\nDesigning, evaluating, and managing scalable data storage and processing ecosystems (e.g., Data Lakes, Data Warehouses, Data Mesh).","description_format":"text","description_chars":4097,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Internet Services","Digital Storage","Digital Media","Marketing Analytics & Attribution"],"lifecycle":[{"event":"open","at":"2026-10-30T17:37:42Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":30,"reasons":["conf:2","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/google-staff-data-engineer-trust-and-safety-tech-and-data-enablement","json_url":"https://alion.io/job/google-staff-data-engineer-trust-and-safety-tech-and-data-enablement.json","meta":{"generated_at":"2026-11-01T12:15:08Z","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":18878,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":82},"rest":"https://alion.io/mcp/rest/get_company?id=82"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgoogle-staff-data-engineer-trust-and-safety-tech-and-data-enablement"},{"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%2Fgoogle-staff-data-engineer-trust-and-safety-tech-and-data-enablement"},{"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%2Fgoogle-staff-data-engineer-trust-and-safety-tech-and-data-enablement"},{"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/google-staff-data-engineer-trust-and-safety-tech-and-data-enablement\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgoogle-staff-data-engineer-trust-and-safety-tech-and-data-enablement"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3536197}},{"tool":"search_jobs","arguments":{"company":"google.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3536197},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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