{"id":21727,"url":"https://alion.io/job/neuroscale-founding-data-engineer-pgopensearch","title":"Founding Data Engineer PG/Opensearch","company":{"id":6185,"name":"Neuroscale AI","domain":"neuroscale.ai","url":"https://alion.io/company/neuroscale","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":128,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":100000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CloudFormation","optional":false},{"name":"ElasticSearch","optional":false},{"name":"IAM","optional":false},{"name":"OpenSearch","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Apache Kafka","optional":true},{"name":"CI/CD","optional":true},{"name":"ETL/ELT","optional":true}],"status":"live","first_seen_at":"2026-04-05T14:29:26Z","employer_posted_date":"2026-04-05","last_verified_at":"2026-10-17T15:48:37Z","board_verified":true,"closed_at":null,"days_open":195,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":194},"description":"About Neuroscale\nNeuroscale is building the AI recruiting operating system - one unified platform for your entire talent organization, from first touch to hired. Arbi eliminates fragmented workflows, integrates directly with your ATS, and orchestrates AI agents for sourcing, outreach, screening, and candidate intelligence end-to-end. By combining reasoning-optimized models with deep workflow automation, Arbi helps talent teams win more top candidates with dramatically less friction.\nWe're backed by top operators and investors, and we're growing fast. Our momentum is further fueled by blue-chip partners and programs, including the NVIDIA Inception Program, the HPE Unleash AI Program, and our active DoD SBIR Phase II award and contract.\nWe are looking for a Founding Data Engineer who can build the data backbone of the platform and help us scale reliably across ingestion, transformation, indexing, storage, and retrieval workflows. This is not a maintenance role. This is a hands-on, high-ownership opportunity for someone who has operated at a staff engineer, architect, or founding/lead engineer level and knows how to build production-grade systems that scale. You will work on the backbone of our platform: APIs, orchestration systems, data workflows, search infrastructure, background jobs, cloud deployment, and backend systems that power AI-enabled products for real customers.\nRole Overview\nThis is a hands-on founding engineering role for someone who knows how to design, build, and operate production-grade data systems. You will work closely with backend engineers, AI engineers, and product leaders to create the data infrastructure that powers search, analytics, and AI-driven product experiences.\nYou should be comfortable working in a fast-moving startup environment, making pragmatic technical decisions, and owning systems end to end.\nWhat You'll Do\nDesign, build, and maintain scalable batch and streaming data pipelines that support Neuroscale AI's core platform\n\nBuild robust ingestion, transformation, enrichment, and indexing workflows across structured, semi-structured, and document-centric data\n\nDevelop and operate production-grade data systems using PostgreSQL, OpenSearch/Elasticsearch, AWS, and Python-based tooling\n\nDesign efficient data models, schemas, and storage patterns that support analytics, search, application workflows, and AI use cases\n\nBuild secure cloud-native data infrastructure using AWS services such as S3, Lambda, Glue, Kinesis, and IAM\n\nOptimize PostgreSQL for advanced SQL workloads, replication, query performance, and data integrity\n\nDesign and manage search and retrieval pipelines in OpenSearch/Elasticsearch for high-speed, relevant access to data\n\nImprove observability, lineage, testing, and reliability across the data platform\n\nAutomate infrastructure provisioning and environment management using Terraform or CloudFormation\n\nPartner closely with backend, product, and AI teams to enable new data-driven capabilities and platform features\n\nHelp define engineering standards, data platform best practices, and operational playbooks as the company scales\n\nRequirements\nStrong experience in data engineering or backend/data platform engineering in production environments\n\nStrong programming skills in Python; experience with Typescript is a plus\n\nDeep hands-on experience with PostgreSQL, including advanced SQL, schema design, query tuning, indexes, sharding, replication, and modeling\n\nStrong experience with OpenSearch/Elasticsearch, including indexing strategy, search performance, relevance tuning, and distributed query operations at very large scale\n\nExperience building and maintaining ETL/ELT pipelines and data processing workflows for large-scale datasets\n\nHands-on experience with AWS data and infrastructure services, especially S3, Lambda, Glue, Kinesis, and IAM\n\nExperience designing reliable cloud-native data architectures and secure data movement patterns\n\nExperience with Infrastructure as Code, ideally Terraform or CloudFormation\n\nStrong understanding of distributed systems, production operations, fault tolerance, and data reliability\n\nAbility to work with high ownership, move quickly, and make sound engineering decisions in a startup environment\n\nNice to Have\nExperience with Kafka, event-driven systems, or other streaming architectures\n\nExperience supporting vector search, semantic retrieval, or AI/ML data pipelines\n\nExperience with workflow orchestration, async processing, and integration-heavy platforms\n\nExperience with containerized environments, CI/CD pipelines, and production monitoring\n\nExperience working on document-centric or AI-enabled platforms\n\nCompensation & Benefits\nBase Salary: $100,000 - $200,000\n\nEquity: ~0.1-0.75% early-stage equity with a clear range shared during the process\n\nBonus: Quarterly performance bonuses tied to clear feature shipping targets\n\nHealthcare: Medical, dental, and vision coverage\n\nPTO: 14 days accrued annually\n\nLearning: $2,000+ per year for courses, conferences, books, and communities\n\nEquipment: New MacBook Pro, monitor, and a monthly tools budget\n\nFlexibility: Flexible hours; ideally in-person in the Northern Virginia / Washington DC region (remote considered)\n\nGrowth: Clear, fast-track path to Engineering Lead as the team scales\n\nWhy Join Neuroscale AI\nFounding role with significant ownership over architecture, tooling, and platform decisions\n\nDirect exposure to company leadership with real influence over product direction\n\nWork on modern AI, search, and data infrastructure problems with direct customer impact\n\nBuild systems from day one - no legacy architecture to inherit\n\nZero bureaucracy, high trust, and a strong culture of ownership and technical excellence\n\nA seat at the table as we scale our product, team, and engineering culture","description_format":"text","description_chars":5804,"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":["Apple Macbook","Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents","HR & Recruiting AI","Recruiting Software & ATS"],"lifecycle":[{"event":"open","at":"2026-04-05T14:29:26Z"},{"event":"close","at":"2026-08-13T11:26:59Z"},{"event":"reopen","at":"2026-08-30T08:36:13Z"}],"visa":[],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":1,"p_active":0.579,"p_room":0.36,"age_days":194,"expected_fill_days":128,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":true},"html_url":"https://alion.io/job/neuroscale-founding-data-engineer-pgopensearch","json_url":"https://alion.io/job/neuroscale-founding-data-engineer-pgopensearch.json","meta":{"generated_at":"2026-10-17T18:14:48Z","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":940,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":6185},"rest":"https://alion.io/mcp/rest/get_company?id=6185"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fneuroscale-founding-data-engineer-pgopensearch"},{"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%2Fneuroscale-founding-data-engineer-pgopensearch"},{"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%2Fneuroscale-founding-data-engineer-pgopensearch"},{"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/neuroscale-founding-data-engineer-pgopensearch\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fneuroscale-founding-data-engineer-pgopensearch"}]}