Data Developer

trane technologies • Bloomington, MN

1d • $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 daily telemetry events, including alarms, sensor readings, engine state, geolocation, and operational metrics, through a cloud-native Azure IoT pipeline. The role owns the full data lifecycle, from high-throughput ingestion and transformation through storage, analytics delivery, and pipeline reliability. It works closely with backend engineering, architecture, product, project management, business stakeholders, and leadership, and requires independent ownership of scalable, reliable, cost-optimized Azure data solutions.

The position covers end-to-end data architecture across Cosmos DB, Azure Data Explorer (ADX), Azure SQL, and Microsoft Fabric. It includes building ingestion and transformation pipelines, designing time-series, event, geospatial, and multi-tenant data models, and managing storage and retention strategies. The Data Developer also owns production pipeline reliability, observability, service-level performance, cost optimization, governance, access controls, and engineering documentation.

The work arrangement is onsite Monday through Thursday, with flexibility to choose the work location on Fridays based on work needs. The role is salary-based, with an annual base salary range of $127,110 to $177,870, and is incentive-eligible.

Requirements

• At least 5 years of professional data engineering experience building and owning production data platforms.
• Bachelor’s degree in Computer Science, Mathematics, Information Technology, or a related field.
• Hands-on Cosmos DB expertise, including partition strategy, indexing, change feed, TTL, multi-tenant patterns, and RU optimization.
• Hands-on Azure Data Explorer expertise, including cluster management, ingestion pipelines, KQL, update policies, retention, and caching tiers.
• Hands-on Azure SQL expertise, 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.
• Strong proficiency in KQL for ADX and SQL for Azure SQL.
• Working proficiency in Python, pySpark, C#/.NET, Java, or another language used for pipeline development.
• Experience with Microsoft Fabric, such as Real-Time Analytics, Lakehouse, or Eventstream; familiarity with Lakehouse architecture, data pipelines, and notebook-based transformations.
• Solid understanding of multi-tenant SaaS data architecture, including isolation patterns, shared infrastructure cost management, and tenant-aware querying.
• Experience designing data models for time-series, telemetry, and event-driven workloads at scale.
• 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, including distributed version control, resolving merge conflicts, and branching strategies.
• Knowledge of 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.
• Architect and optimize Cosmos DB for high-throughput IoT workloads, including partition keys, indexing, schemas, TTL, RU/s throughput, and change feed use.
• Build and manage ADX clusters, ingestion pipelines, mappings, update policies, KQL queries, retention and caching policies, and materialized views.
• Design and manage Azure SQL schemas, stored procedures, and ETL jobs for reporting and operational data needs.
• Architect data flows across real-time, operational, and analytics paths using Event Hubs, Cosmos DB, and ADX.
• Build and maintain ingestion pipelines using Azure Functions, Event Hubs, and Service Bus.
• Design and implement high-throughput pipelines for telemetry, alarms, lifecycle events, and geospatial data.
• Develop transformation and enrichment logic using 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 to 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.
• Design scalable data models for time-series telemetry, alarm events, geospatial lookups, and fleet or asset metadata.
• Implement partitioning strategies for Cosmos DB and ADX, and manage multi-tenant data isolation and access patterns in Cosmos DB and Azure SQL.
• Manage data lifecycle policies, including ADX cache tiers and retention, Cosmos DB TTL, and archival strategy.
• Collaborate with backend engineering to define microservice data contracts and Cosmos DB document schemas for operational APIs and analytics.
• Partner with platform architects on the evolution of the next-generation telematics platform data architecture.
• Work with backend Java engineers on ingestion patterns, event processing, and cross-microservice data contract design.
• Support product and business stakeholders with analytics queries, reporting, and ad hoc investigations using ADX/KQL.
• Partner with project managers to deliver data milestones predictably and communicate risks early.
• Own reliability, observability, and SLAs for production SaaS data pipelines.
• Monitor, diagnose, and optimize costs across Cosmos DB, ADX, Azure SQL, Event Hubs, and Azure Functions.
• Implement governance, RBAC, and data access controls for multi-tenant SaaS requirements.
• Produce runbooks, architecture documentation, and knowledge-sharing materials for the engineering organization.

Benefits

• Health insurance and holistic wellness programs with incentives, available from day one for the employee and family.
• Fertility coverage and adoption/surrogacy assistance.
• Up to 15 vacation days, paid holidays, sick leave, and additional options for volunteer and parental leave.
• 401(k) matching.
• Educational and training opportunities through company programs.
• Tuition assistance and student debt support.
• Incentive-eligible compensation.

What This Job Offers

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