{"id":1869386,"url":"https://alion.io/job/people-in-ai-staff-data-engineer","title":"Staff Data Engineer","company":{"id":3862080,"name":"People In AI","domain":"peopleinai.com","url":"https://alion.io/company/people-in-ai","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":14,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":200000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Flink","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"AWS","optional":true},{"name":"Claude Code","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM","optional":true},{"name":"Pydantic AI","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-05-21T00:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-15T12:41:42Z","board_verified":true,"closed_at":null,"days_open":147,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":147},"description":"Staff Data Engineer\nRemote, United States\n$200,000 to $250,000 base\nAI-powered vertical data platform\nWe are working with a high-growth AI technology company building a data-rich platform for a large, relationship-driven industry undergoing rapid digital transformation.\nThe business has strong commercial traction, significant investor backing, and is investing heavily in AI product and engineering as it scales a platform used by thousands of professionals to manage digital growth, customer engagement, and operational workflows.\nThey are hiring a Staff Data Engineer to join a small, senior data platform team responsible for one of the company’s most important technical systems: ingesting, normalizing, and serving high-volume third-party data from hundreds of fragmented external sources.\nThis is a hands-on staff-level role for someone who enjoys hard data infrastructure problems, distributed systems, backend engineering, and the practical use of AI to improve operational workflows.\nAbout the Role\nYou will help lead the next phase of a large-scale data platform that powers customer-facing products, internal automation, search and discovery features, recommendations, and AI-enabled workflows.\nThe core platform is already live, but there is significant work ahead around scalability, reliability, cost optimization, data quality, observability, and automation.\nThe team works across streaming and batch data pipelines, backend services, orchestration, data lake infrastructure, and AI agents that support internal teams by reducing manual investigation, improving issue triage, and accelerating data onboarding.\nThis is not a narrow data pipeline role. You will be expected to shape architecture, work directly with product and engineering stakeholders, and stay close to implementation.\nWhat You’ll Do\nOwn and evolve large-scale data pipelines that ingest and normalize high-volume data from hundreds of external feeds.\n\nDesign and improve event-driven data flows using Kafka or similar messaging technologies.\n\nBuild and operate backend services and APIs that expose core data to internal systems and customer-facing products.\n\nWork with Spark or Flink across batch and streaming workloads.\n\nImprove orchestration, reliability, monitoring, alerting, and data quality across production data systems.\n\nPartner with AI and ML engineers on agentic workflows that automate operational triage, data onboarding, and internal support processes.\n\nHelp define evaluation, logging, telemetry, and feedback loops for AI-enabled systems.\n\nDrive technical design discussions and make practical tradeoffs around cost, performance, reliability, and delivery speed.\n\nMentor other engineers while remaining deeply hands-on.\n\nTech Stack & Environment\nThe environment includes Python and Java backend services, Kafka, Spark, Airflow, Kubernetes, AWS, EMR, data lake infrastructure, SQL, and modern observability tooling.\nThe company is also working with AI agent frameworks and LLM-powered workflows to automate internal processes and improve data operations. Experience with tools such as LangChain, LangGraph, PydanticAI, Claude Code, or similar frameworks is useful, but strong engineering fundamentals matter most.\nWhat We’re Looking For\nStrong hands-on experience with data-intensive or distributed systems at scale.\n\nDeep production experience with Spark, Flink, or similar large-scale processing frameworks.\n\nExperience with Kafka, Kinesis, Pub/Sub, or another event streaming platform.\n\nBackend engineering experience in Python, Java, or a similar language.\n\nExperience with Airflow or comparable workflow orchestration tools.\n\nStrong SQL, data modeling, and data quality fundamentals.\n\nComfort working with Kubernetes and cloud infrastructure.\n\nAbility to operate at staff level while still owning implementation details.\n\nStrong communication skills and the ability to work closely with product, engineering, operations, and support teams.\n\nA practical interest in AI, including how AI tools and agents can improve engineering workflows and operational efficiency.\n\nNice to Have\nExperience with Iceberg, Hive, Athena, Redshift, Snowflake, or similar data lake and warehouse technologies.\n\nExperience with data observability or quality tools.\n\nExperience with vector databases, retrieval systems, or AI agent monitoring.\n\nBackground working with fragmented third-party data, marketplace data, search, recommendations, advertising, or other high-volume customer-facing data products.\n\nStartup or high-growth company experience.\n\nWhy This Role Is Interesting\nYou will join a small team with ownership over a very large technical surface area. The platform handles complex, messy, high-value third-party data across hundreds of sources, and the work has a direct impact on customer-facing products and internal AI automation.\nThe company is pushing AI into real operational workflows, not treating it as a side experiment. This role offers the chance to work on practical AI automation, high-scale data infrastructure, and backend systems in one position.\nIt is a strong fit for someone who wants staff-level scope without losing the ability to build.\nAbout People In AI\nPeople In AI partners with high-growth AI and technology companies to help them hire specialist technical talent. We work closely with hiring teams to understand the role, the technical environment, and the expectations before speaking with candidates, so conversations are focused, transparent, and useful from the start.","description_format":"text","description_chars":5496,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-04T21:13:54Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.151,"p_room":0.28,"age_days":147,"expected_fill_days":27,"reasons":["conf:10","agency","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-15T05:46:00Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/people-in-ai-staff-data-engineer","json_url":"https://alion.io/job/people-in-ai-staff-data-engineer.json","meta":{"generated_at":"2026-10-15T17:20:08Z","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":26287,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":3862080},"rest":"https://alion.io/mcp/rest/get_company?id=3862080"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpeople-in-ai-staff-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%2Fpeople-in-ai-staff-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%2Fpeople-in-ai-staff-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/people-in-ai-staff-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpeople-in-ai-staff-data-engineer"}]}