{"id":2305983,"url":"https://alion.io/job/kode-labs-senior-analytics-engineer","title":"Senior Analytics Engineer","company":{"id":4414432,"name":"Kode Labs","domain":"kodelabs.com","url":"https://alion.io/company/kode-labs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","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":"2026-10-13T04:48:32Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"KODE Labs, headquartered in Detroit, Michigan, is seeking aSenior Analytics Engineer to join our growing team. \nBuildings generate an enormous amount of telemetry, sensor readings, equipment states, energy meters, alarms, flowing through our platform every second. In this role, you will own the layer that turns this raw data into trusted, well-modeled datasets that power customer-facing analytics, energy and sustainability reporting, internal decision-making and the features our product teams build on top of the data.\nYou will work at the intersection of data engineering, analytics and product: designing data models over our GCP and ClickHouse stack, building reliable transformation pipelines, defining metrics that the whole company can trust, and partnering with product, engineering and customer teams to make data a first-class product. \nWHAT YOU WILL DO:\nDesign, build and maintain the analytical data models and transformation layer over our warehouse and analytical stores (BigQuery, ClickHouse), turning high-volume building telemetry into clean, documented, query-ready datasets.\n\nDefine and standardize core business and product metrics, energy consumption, equipment performance, portfolio benchmarks, platform usage, with clear ownership, lineage and documentation.\n\nBuild and operate reliable, tested ELT pipelines with software engineering discipline: version control, code review, CI/CD, data quality checks and alerting.\n\nOptimize query performance and storage cost across large time-series datasets, including schema design, partitioning and materialized views.\n\nPartner with product managers, backend engineers and customer success to translate ambiguous questions into datasets, dashboards and self-serve analytics.\n\nSupport customer-facing reporting on energy, sustainability and building performance, where the numbers we publish must stand up to scrutiny.\n\nMentor other engineers and analysts, set standards for analytics engineering practice, and help shape the roadmap of our data platform.\n\nRequirements\n5+ years of experience in analytics engineering, data engineering or a closely related role, with at least 2 years owning data models used in production by other teams.\n\nExpert-level SQL and strong experience with a modern transformation framework (dbt or equivalent), including testing, documentation and CI.\n\nHands-on experience with a cloud data warehouse, ideally BigQuery on Google Cloud, and with columnar/OLAP databases such as ClickHouse.\n\nSolid programming skills in Python (or a comparable language) for pipeline development and automation.\n\nExperience working with streaming or high-volume event data (e.g. Kafka) and document stores (e.g. MongoDB) as upstream sources.\n\nA track record of defining metrics and building semantic layers or BI models that non-technical stakeholders rely on daily.\n\nStrong communication skills in English and the ability to work autonomously in a remote, cross-timezone team.\n\nWHAT GIVES YOU AN EDGE:\nExperience with time-series data, IoT telemetry, or the built environment (BMS/BAS, energy metering, sustainability reporting frameworks\n\nFamiliarity with orchestration tools (Airflow, Dagster or similar) and infrastructure-as-code on GCP.\n\nExposure to data governance, cataloging and privacy practices in a B2B SaaS environment.\n\nBenefits\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. 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