Trane
From Trane's careers page
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We are looking for a Data Developer with deep, hands-on Azure data expertise to own and evolve the data foundation of our enterprise telematics SaaS platform.
Participez à notre mission ! En tant que leader mondial dans la création de solutions climatiques confortables, durables et efficaces pour les bâtiments, les habitations et les transports, il est de notre responsabilité de placer la planète au premier plan. Pour nous, chezTrane Technologies, et à travers nos activités, y comprisTrane®etThermo KingLa durabilité n’est pas simplement une façon de faire des affaires—c’est au cœur de notre activité. Osez-vous regarder les défis mondiaux et y voir des opportunités porteuses d’impact ? Souhaitez-vous contribuer à bâtir un avenir meilleur ? Si la réponse est oui, nous vous invitons à envisager de nous rejoindre pour repousser les limites du possible en faveur d’un monde durable.
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We are looking for a Data Developer with deep, hands-on Azure data expertise to own and evolve the data foundation of our enterprise telematics SaaS platform. Our platform manages approximately 200,000 connected transport refrigeration units (TRUs) generating millions of telemetry events per day — alarms, sensor readings, engine state, geolocation, and operational metrics — flowing through a cloud-native IoT pipeline built on Azure.
You will be responsible for the full data lifecycle: high-throughput ingestion from IoT devices, transformation and enrichment, storage strategy across Cosmos DB and Azure Data Explorer, relational data modeling in Azure SQL, analytics delivery, and pipeline reliability. This is a hands-on, high-impact role with direct influence over platform architecture, working closely with backend engineering, architecture, product, and leadership.
You must be able to operate independently, take full ownership of the data platform, and bring proven experience building scalable, reliable, cost-optimized data solutions on Azure.
Data Platform Architecture & Development
Own the design and evolution of the platform's end-to-end data architecture across Cosmos DB, Azure Data Explorer (ADX), Azure SQL, and Fabric.
Architect and optimize Cosmos DB for high-throughput IoT workloads: partition key strategy, indexing policy, schema design, TTL configuration, RU/s throughput tuning, and change feed utilization.
Build and manage ADX clusters: ingestion pipelines (Event Hub ingestion, ingestion mappings, update policies), KQL query optimization, retention and caching policy tuning, and materialized views for analytics.
Design and manage Azure SQL schemas, stored procedures, and ETL jobs supporting relational reporting and operational data needs.
Architect data flow across the hot path (Event Hubs → real-time processing), warm path (Cosmos DB operational queries), and cold/analytics path (ADX long-term telemetry retention and aggregation).
Build and maintain ingestion pipelines using Azure Functions, Event Hubs, and Service Bus.
ETL / ELT & Data Transformation
Design and implement high-throughput ingestion pipelines processing millions of IoT device events per day, including telemetry, alarms, lifecycle events, and geospatial data.
Build transformation and enrichment logic in C#/.NET, Python, and/or pySpark integrated with Azure Functions and Event Hub triggered pipelines.
Implement data quality, validation, deduplication, and anomaly detection within ingestion pipelines.
Apply CI/CD practices for data pipeline deployment using GitHub Actions or Azure DevOps.
Design and maintain ADX update policies and Cosmos DB change feed processors for downstream data propagation.
Data Modeling & Storage Strategy
Design scalable, queryable data models for time-series telemetry, alarm events, geospatial lookups (H3 hexagonal indexing), and fleet/asset metadata.
Implement optimal partitioning strategies tailored to Cosmos DB (tenant + device key patterns) and ADX (ingestion time partitioning, row ordering policies).
Model multi-tenant data isolation and access patterns in both Cosmos DB and Azure SQL.
Manage data lifecycle policies across ADX (hot/cold cache tiers, retention) and Cosmos DB (TTL, archival strategy).
Collaborate with backend engineering to define microservice data contracts and Cosmos DB document schemas that support both operational APIs and analytics queries.
Cross-Functional Collaboration
Partner with platform architects on the evolution of the next-generation telematics platform data architecture.
Work closely with backend (JAVA) engineers to support ingestion patterns, event processing, and data contract design across microservices.
Support product and business stakeholders with analytics queries, reporting, and ad hoc data investigation using ADX/KQL.
Partner with project managers to deliver data milestones predictably and communicate risks early.
Operations & Reliability
Own reliability, observability, and SLA of all data pipelines across the production SaaS platform.
Monitor, diagnose, and optimize costs across Cosmos DB (RU/s utilization), ADX (compute and storage tiers), Azure SQL, Event Hubs, and Azure Functions.
Implement proper governance, RBAC, and data access controls consistent with multi-tenant SaaS requirements.
Produce runbooks, architecture documentation, and knowledge-sharing artifacts for the engineering organization.
Required Qualifications
5+ years of professional data engineering experience with a track record of building and owning production data platforms.
Education: Bachelor’s degree in Computer Science, Mathematics, Information Technology, or a related field.
Cosmos DB (required) — partition strategy, indexing, change feed, TTL, multi-tenant patterns, RU optimization
Azure Data Explorer (ADX) (required) — cluster management, ingestion pipelines, KQL, update policies, retention, caching tiers
Azure SQL (required) — schema design, stored procedures, query optimization, ETL integration
Azure Event Hubs and Service Bus — high-throughput ingestion, consumer group management, dead-letter handling
Azure Functions — event-driven pipeline orchestration
Microsoft Fabric -- Experience with Microsoft Fabric (Real-Time Analytics, Lakehouse, or Eventstream). Familiarity with Microsoft Fabric solutions, including Lakehouse architecture, data pipelines, and notebook-based transformations for scalable data engineering, analytics, and unified data workflows.
Strong proficiency in KQL for ADX and SQL for Azure SQL; working proficiency in Python, pySpark and/or C#/.NET/JAVA/etc. for pipeline development.
Solid understanding of multi-tenant SaaS data architecture — isolation patterns, shared infrastructure cost management, tenant-aware querying.
Experience designing data models for time-series, telemetry, and event-driven workloads at scale.
Strong understanding of distributed data systems — partitioning, consistency tradeoffs, throughput vs. latency optimization.
Hands-on experience supporting and owning production SaaS platforms end-to-end.
Knowledge and expertise in using Git for distributed version control, ability to resolve merge conflicts, knowledge of Git branching strategies.
Knowledge and expertise in Azure DevOps deployment pipelines
Experience in utilizing AI in a data platform ecosystem.
Ability to operate independently and cross-functionally across architecture, development, DevOps, and product teams.
Experience in IoT, telematics, fleet management, or large-scale connected device platforms.
Familiarity with geospatial data — H3 indexing, geofencing, or location-enriched telemetry pipelines.
Familiarity with .NET / C# / JAVA in the context of Azure data pipeline development (Azure Functions, Event Hub processors).
Experience with Azure Container Apps or other containerized Azure compute environments.
Exposure to MQTT, IoT Hub, or cellular device connectivity (private APN) patterns.
Fourchette de salaire de base annuel ou fourchette de rémunération horaire de base : $127,110.00 - $177,870.00 Type de rémunération : Salaire Admissible à l’incitation : Yes Éligible à la commission sur les ventes : No AvertissementNous nous efforçons d’offrir une rémunération compétitive pour ce poste, adaptée à divers facteurs. La rémunération effective dépendra notamment de l’ancienneté, du mérite, de la localisation géographique, du niveau d’études, de l’expérience, des exigences en matière de déplacements et de l’appartenance syndicale. Notre fourchette de rémunération est généralement basée sur la moyenne nationale du pays. Par ailleurs, les avantages peuvent varier en fonction de la région, de l’organisation de l’entreprise, de l’implication syndicale et du statut de l’employé.
Les avantages sociaux sont accessibles DÈS LE PREMIER JOUR pour vous et votre famille, notamment l’assurance santé et des programmes de bien-être global offrant de généreuses mesures incitatives – NOUS OSONS PRENDRE SOIN DE VOUS !
Les avantages liés à la fondation d’une famille comprennent la prise en charge des traitements de fertilité ainsi qu’une aide à l’adoption et à la gestation pour autrui.
Les congés payés comprennent jusqu’à 15 jours de congés, des jours fériés payés, des congés maladie et d’autres options pour soutenir le bénévolat et les congés parentaux.
Abondement au 401K, possibilités de formation et de développement grâce aux programmes de l’entreprise, ainsi qu’une aide aux frais de scolarité et au remboursement de la dette étudiante.
Avis : Les avantages proposés peuvent varier selon le site, les conventions collectives et les réglementations locales/de l’État
Nous offrons une rémunération compétitive ainsi que des avantages et des programmes complets. Nous sommes un employeur garantissant l’égalité des chances ; tous les candidats qualifiés seront considérés pour un emploi sans distinction de race, de couleur, de religion, de sexe, d’orientation sexuelle, d’identité de genre, d’origine nationale, de grossesse, d’âge, de statut marital, de handicap, de statut de vétéran protégé ou de tout autre statut protégé par la loi.
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