Data Developer

Trane Italia • Minneapolis, MN

4d • $127,110 - $177,870 • Hybrid

About The Position

Trane Technologies is seeking a Data Developer to own and evolve the data foundation of its enterprise telematics SaaS platform. The platform manages approximately 200,000 connected transport refrigeration units and processes millions of telemetry events per day through a cloud-native Azure IoT pipeline. The role covers the full data lifecycle, including ingestion, transformation and enrichment, storage across Cosmos DB and Azure Data Explorer, relational modeling in Azure SQL, analytics delivery, and pipeline reliability.

This is a hands-on role with influence over platform architecture and collaboration across backend engineering, architecture, product, project management, and leadership. The Data Developer is expected to operate independently and take ownership of scalable, reliable, cost-optimized Azure data solutions. The work arrangement is onsite Monday through Thursday, with location choice on Fridays based on work needs.

Requirements

• At least 5 years of professional data engineering experience, with a record of building and owning production data platforms.
• Bachelor’s degree in Computer Science, Mathematics, Information Technology, or a related field.
• Deep, hands-on Cosmos DB experience, including partition strategy, indexing, change feed, TTL, multi-tenant patterns, and RU optimization.
• Deep, hands-on Azure Data Explorer experience, including cluster management, ingestion pipelines, KQL, update policies, retention, and caching tiers.
• Hands-on Azure SQL experience, including schema design, stored procedures, query optimization, and ETL integration.
• Experience with Azure Event Hubs and Service Bus, including high-throughput ingestion, consumer group management, and dead-letter handling.
• Experience with Azure Functions for event-driven pipeline orchestration.
• Experience with Microsoft Fabric, such as Real-Time Analytics, Lakehouse, or Eventstream; familiarity with Lakehouse architecture, data pipelines, and notebook-based transformations.
• Strong proficiency in KQL and SQL.
• Working proficiency in Python, pySpark, and/or C#/.NET/Java or another listed pipeline-development language.
• Understanding of multi-tenant SaaS data architecture, including isolation patterns, shared infrastructure cost management, and tenant-aware querying.
• Experience designing data models for large-scale time-series, telemetry, and event-driven workloads.
• Strong understanding of distributed data systems, including partitioning, consistency tradeoffs, and throughput versus latency optimization.
• Hands-on experience supporting and owning production SaaS platforms end to end.
• Knowledge of Git distributed version control, resolving merge conflicts, and Git branching strategies.
• Knowledge and expertise in Azure DevOps deployment pipelines.
• Experience utilizing AI in a data platform ecosystem.
• Ability to work independently and cross-functionally across architecture, development, DevOps, and product teams.

Nice To Haves

• Experience in IoT, telematics, fleet management, or large-scale connected-device platforms.
• Familiarity with geospatial data, including H3 indexing, geofencing, or location-enriched telemetry pipelines.
• Familiarity with .NET, C#, or Java for Azure data pipeline development, including Azure Functions and Event Hub processors.
• Experience with Azure Container Apps or other containerized Azure compute environments.
• Exposure to MQTT, IoT Hub, or cellular device connectivity patterns such as private APN.

Responsibilities

• Own the design and evolution of the end-to-end data architecture across Cosmos DB, Azure Data Explorer, Azure SQL, and Microsoft Fabric.
• Design and optimize Cosmos DB for high-throughput IoT workloads, including partitioning, indexing, schemas, TTL, RU/s throughput, and change feed.
• Build and manage Azure Data Explorer clusters, ingestion pipelines, KQL queries, update policies, retention and caching policies, and materialized views.
• Design and manage Azure SQL schemas, stored procedures, and ETL jobs for reporting and operational data.
• Architect hot, warm, and cold/analytics data flows across Event Hubs, real-time processing, Cosmos DB, and Azure Data Explorer.
• Build and maintain ingestion pipelines using Azure Functions, Event Hubs, and Service Bus.
• Implement high-throughput pipelines for telemetry, alarms, lifecycle events, and geospatial data.
• Develop transformation and enrichment logic using C#/.NET, Python, and/or pySpark with Azure Functions and Event Hub-triggered pipelines.
• Implement data quality, validation, deduplication, and anomaly detection in ingestion pipelines.
• Apply CI/CD practices to data pipeline deployment using GitHub Actions or Azure DevOps.
• Design and maintain Azure Data Explorer update policies and Cosmos DB change feed processors for downstream data propagation.
• Develop scalable data models for time-series telemetry, alarm events, geospatial lookups, and fleet or asset metadata.
• Implement partitioning strategies for Cosmos DB and Azure Data Explorer, and manage multi-tenant data isolation and access patterns.
• Manage data lifecycle policies, including Azure Data Explorer cache tiers and retention and Cosmos DB TTL and archival strategies.
• Collaborate with backend engineering on microservice data contracts and Cosmos DB document schemas for operational APIs and analytics.
• Partner with platform architects on the next-generation telematics platform data architecture.
• Work with backend Java engineers on ingestion patterns, event processing, and data contract design.
• Support product and business stakeholders with analytics queries, reporting, and ad hoc investigations using Azure Data Explorer and KQL.
• Coordinate with project managers to deliver data milestones predictably and communicate risks early.
• Own reliability, observability, and SLAs for production data pipelines.
• Monitor, diagnose, and optimize costs across Cosmos DB, Azure Data Explorer, Azure SQL, Event Hubs, and Azure Functions.
• Implement governance, RBAC, and data access controls for multi-tenant SaaS requirements.
• Create runbooks, architecture documentation, and knowledge-sharing materials.

Benefits

• Health insurance and holistic wellness programs with incentives, effective on day one for the employee and family.
• Fertility coverage and adoption or surrogacy assistance.
• Up to 15 vacation days, paid holidays, sick leave, and additional options supporting volunteer and parental leave.
• 401(k) match.
• Educational and training opportunities through company programs.
• Tuition assistance and student debt support.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior