{"id":727119,"url":"https://alion.io/job/genlogs-senior-data-engineer","title":"Senior Data Engineer","company":{"id":673637,"name":"GenLogs","domain":"genlogs.io","url":"https://alion.io/company/genlogs","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"C","score":65,"open_postings":8,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":74,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":114000,"max_usd":208000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":397},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Computer Vision","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-12-11T01:36:36Z","employer_posted_date":"2025-12-11","last_verified_at":"2026-10-30T03:07:37Z","board_verified":true,"closed_at":null,"days_open":323,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":322},"description":"GenLogs is a transportation-technology company building the next generation of truck intelligence. Through a nationwide network of sensors and proprietary data, we deliver real-time, high-fidelity insights into freight movement for commercial supply-chain customers and public-sector agencies. Our mission is to strengthen America’s logistics backbone, combat freight fraud and cargo theft, and provide near-instantaneous visibility into commercial motor vehicle activity across major freight corridors. By operating at the intersection of edge sensing, computer vision, AI-driven analytics, and large-scale field deployment, GenLogs is transforming how transportation data is captured, secured, and commercialized.\nABOUT THE DATA TEAM\nThe Data Science team at GenLogs transforms raw observational data from our sensor network into high-value intelligence used by law-enforcement agencies, regulators, ports, and private-sector freight operators. We build models, analytics, and measurement frameworks that enable vehicle detection, entity resolution, behavioral insights, fraud and theft indicators, compliance signals, and network-wide operational performance metrics. Our work sits at the center of the freight intelligence platform, shaping how billions of roadside observations become actionable information. We partner closely with Engineering and Product to deploy algorithms at scale and with Go-to-Market teams to define customer-facing analyses that drive real operational outcomes. The team blends statistical rigor, ML capability, and domain expertise to create a new standard for freight intelligence in the United States.\nABOUT THE JOB\nYou’re a problem solver at heart. You thrive at the intersection of engineering, computer science, and data, you’re motivated by questions that don’t have obvious answers, and you love to architect and build reliable systems that enable whole organizations to build world class analytics. You bring a background in engineering, computer science, physics, applied math, or another hard science discipline, and you enjoy applying that technical foundation to real-world data challenges.\nYou are energized by ambiguity, obsessed with understanding how complex systems behave, and capable of breaking down big problems into tractable iterations. You ask great questions, validate assumptions with data, and are relentless in your pursuit of signal over noise.\nWHAT YOU’LL DO\nBuild and maintain ETL/ELT pipelines using Python and SQL.\nDevelop ingestion workflows with AWS Firehose, S3, and related services.\nCreate and optimize dbt models, tests, and incremental logic.\nTune Snowflake queries and warehouse usage for cost and performance.\nOperate and improve Airflow DAGs for reliable execution and monitoring.\nMaintain high data quality, data integrity, and pipeline SLA commitments.\nBring clarity to ambiguous requirements and propose practical solutions.\nLead data engineering best practices and influence architectural decisions.\nDrive projects independently, from definition to delivery.\nCollaborate with engineering, analytics, and ML teams to support shared goals.\nBuild feature pipelines to support ML workflows.\nSupport model deployment, monitoring, and automated retraining.\nAdd data validation and quality checks across ML and analytics pipelines.\nREQUIRED QUALIFICATIONS\n5+ years of experience in data engineering or software engineering.\nStrong Python and SQL skills.\nHands-on experience with Snowflake, AWS Firehose/S3, Airflow, and dbt.\nAbility to work independently and execute in a dynamic environment.\nStrong problem-solving skills and attention to detail.\nPREFERRED QUALIFICATIONS\nExperience with geospatial data (e.g., spatial joins, geometry processing, or geospatial libraries).\nExperience with ML or MLOps pipelines.\nKnowledge of Snowflake streams, tasks, and performance tuning.\nExperience with large-scale or semi-structured datasets.\nWHO WILL SUCCEED HERE\nYou will love this role if you are:\nRelentlessly curious - you ask “why?” repeatedly until you reach the root\nTechnically fearless - not afraid to dive into large datasets, new ML techniques, or unfamiliar codebases\nImpact-driven - you want your models to power real, high-stakes decisions in a massive industry\nComfortable with ambiguity - our data is large, messy, and evolving, and that excites you\nCollaborative - you enjoy working with engineers, data teams, and product stakeholders to deliver real customer value\nUS SALARY RANGE\nGenLogs establishes compensation based on role, level, experience, and location. Salary bands are benchmarked against high-growth technology companies and adjusted for market conditions. Equity grants are included in most full-time offers to ensure every team member participates in the company’s long-term value creation. A recruiter will provide a precise range during the hiring process.\nBENEFITS\nHealthcare (US based only)\nEmployer-covered comprehensive medical, dental, and vision plans\nEmployer contribution towards premiums of optional higher-end plans\nTime Off\nUnlimited PTO\nSick leave\nCompany holidays (GenLogs observes all US Government holidays)\nFlexible leave for caregiving and medical needs\nFamily Support\nPaid parental leave\nProfessional Development\nBudget availability for approved professional development courses, certifications, and training\nTravel Support\n100% travel reimbursement for all approved company travel and spending\nRetirement Savings\n401(k) plan (US based employees)\nA recruiter can provide more detail about the specific compensation and benefits associated with this role.","description_format":"text","description_chars":5569,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave","Professional development","Retirement plans","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Logistics","Supply Chain & Logistics Software"],"lifecycle":[{"event":"open","at":"2026-09-11T08:42:09Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.3,"p_room":0.28,"age_days":323,"expected_fill_days":74,"reasons":["conf:2","ghost","win:tail","crowd:"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/genlogs-senior-data-engineer","json_url":"https://alion.io/job/genlogs-senior-data-engineer.json","meta":{"generated_at":"2026-10-30T06:48:35Z","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":9614,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":673637},"rest":"https://alion.io/mcp/rest/get_company?id=673637"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgenlogs-senior-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%2Fgenlogs-senior-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%2Fgenlogs-senior-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/genlogs-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgenlogs-senior-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":727119}},{"tool":"search_jobs","arguments":{"company":"genlogs.io","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":727119},"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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