{"id":2305977,"url":"https://alion.io/job/kode-labs-staff-data-engineer-core-data-pipelines","title":"Staff Data Engineer - Core Data Pipelines","company":{"id":4414432,"name":"Kode Labs","domain":"kodelabs.com","url":"https://alion.io/company/kode-labs","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"BigQuery","optional":false},{"name":"ClickHouse","optional":false},{"name":"dbt","optional":false},{"name":"Digital Twin","optional":false},{"name":"Flink","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-10-11T22:54:17Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-14T09:23:25Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Our team at KODE Labs is looking for a Staff Data Engineer to lead the technical foundations behind our core data pipelines, data alignment, quality, lineage, and observability standards.\nThis is a highly cross-functional technical leadership role. You’ll build shared data foundations while defining the patterns and standards used by teams across Integrations, Digital Twin, Data Platform, Fault Detection & Diagnostics (FDD), Energy, Analytics, APIs, and AI Agents.\nYou won’t own every product-specific pipeline or validation rule. Instead, you’ll establish the foundations that allow teams across KODE to build on trusted, scalable, observable, and consistently modeled data.\nWhat You Will Do\nDesign, build, and evolve core data pipelines and datasets that serve as shared foundations across KODE OS.\n\nDefine reusable patterns for aligning IoT, BMS, operational, asset, meter, work order, schedule, weather, occupancy, and time-series data with our Digital Twin.\n\nEstablish standards for the full data lifecycle - from raw ingestion through alignment, cleaning, modeling, serving, and consumption.\n\nBuild shared frameworks for data validation, normalization, lineage, observability, and readiness.\n\nDefine common approaches to data quality, including quality flags, confidence scores, validation signals, and product-readiness checks.\n\nEstablish time-series standards covering timestamps, time zones, expected frequencies, gaps, late-arriving data, duplicates, and standard aggregation grains.\n\nDefine and evolve data contracts, schema standards, and versioning practices across data producers and consumers.\n\nBuild observability foundations that surface issues with freshness, coverage, schema changes, data quality, pipeline failures, and data drift before they impact downstream products.\n\nEstablish clear lineage from raw → ingested → aligned → cleaned → modeled → served → consumed data.\n\nDevelop reusable mapping and alignment patterns that make onboarding new integrations and data sources more consistent and scalable.\n\nPartner closely with Integrations and Digital Twin engineers to ensure required identifiers, metadata, entity relationships, point classifications, and semantic alignment are reliable.\n\nWork with FDD, Energy, Analytics, API, and AI teams to ensure downstream products consume data with clear quality, freshness, lineage, semantic context, and readiness indicators.\n\nReview new data models, schemas, pipelines, mappings, and cross-team data flows to ensure they follow shared engineering standards.\n\nProvide technical leadership across teams, helping engineers make strong architectural decisions and avoid solving the same data problems in different ways.\n\nMentor engineers and raise the bar for data engineering practices, system design, documentation, reliability, and maintainability across KODE.\n\nRequirements\n Staff-level experience in data engineering or data platform engineering, with a track record of designing scalable systems and leading technical initiatives across teams.\nStrong experience building and operating core data pipelines, including batch and/or streaming architectures.\n\nDeep understanding of data modeling, data quality, contracts, lineage, observability, and schema evolution.\n\nStrong proficiency in SQL and Python.\n\nExperience working with IoT, telemetry, time-series, operational, or other high-volume event data.\n\nExperience with Digital Twins, ontologies, semantic models, metadata modeling, or domain-driven data structures.\n\nHands-on experience with technologies such as Kafka, Flink, Spark, Airflow, dbt, BigQuery, ClickHouse, PostgreSQL, or comparable tools.\n\nStrong systems thinking, with the ability to design data flows from ingestion and alignment through modeling and downstream consumption.\n\nProven ability to set technical standards, influence architecture across teams, and mentor engineers without directly owning every implementation.\n\nBenefits\nWHAT WE OFFER:\nCompetitive salary based on experience \n\nDiscretionary Bonus Program \n\nCareer Development Program and opportunities to grow within the company \n\nFlexible Paid Time Off\n\nComprehensive Health Insurance Package \n\nDynamic team and challenging projects \n\nCustom-tailored onboarding experience \n\nWelcoming and friendly work environment \n\nSocial events and team activities\n\nJOIN THE TEAM\nKODE Labs is a real estate technology company founded in 2017 with a mission to change the way people, buildings, and systems operate. Headquartered in Detroit, Michigan, we are a driving force behind the adoption of smart building technology. To scale our presence across numerous cities and countries, we depend on our team of talented, ambitious people who go above and beyond to create value for our clients.\nWhen you join the KODE Labs team you can create your own career. Whether you have years of experience or are just starting, we help you realize your full potential and achieve your goals.\nIf KODE Labs sounds like the place for you, we’d love to hear your story, so please apply through our online application form. Only shortlisted candidates will be contacted.","description_format":"text","description_chars":5093,"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":["Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-11T22:54:17Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":52,"reasons":["conf:2","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/kode-labs-staff-data-engineer-core-data-pipelines","json_url":"https://alion.io/job/kode-labs-staff-data-engineer-core-data-pipelines.json","meta":{"generated_at":"2026-10-14T09:46:50Z","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":11031,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":4414432},"rest":"https://alion.io/mcp/rest/get_company?id=4414432"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkode-labs-staff-data-engineer-core-data-pipelines"},{"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%2Fkode-labs-staff-data-engineer-core-data-pipelines"},{"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%2Fkode-labs-staff-data-engineer-core-data-pipelines"},{"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/kode-labs-staff-data-engineer-core-data-pipelines\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkode-labs-staff-data-engineer-core-data-pipelines"}]}