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Data Developer

Trane Technologies Minneapolis, MN

Minneapolis, MN

Today

$127k - $178k/yr Full time Azure Cosmos Db Azure Data Engineer Azure Data Explorer

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Job Description

Own the data foundation for Trane Technologies’ enterprise telematics SaaS platform on Azure, spanning end-to-end lifecycle from IoT ingestion to analytics, reliability, and cost optimization.

Responsibilities

Design, build, and evolve end-to-end data architecture across Cosmos DB, Azure Data Explorer (ADX), Azure SQL, and Microsoft Fabric
Architect and optimize Cosmos DB for high-throughput IoT workloads including partition key strategy, indexing policy, schema design, TTL configuration, RU/s throughput tuning, and change feed utilization
Build and operate ADX clusters with ingestion pipelines (Event Hub ingestion, ingestion mappings, update policies), KQL query optimization, retention and caching policy tuning, and materialized views for analytics
Design and maintain Azure SQL schemas, stored procedures, and ETL jobs for relational reporting and operational data needs
Drive 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)
Develop and maintain ingestion pipelines using Azure Functions, Event Hubs, and Service Bus
Implement high-throughput ingestion pipelines processing millions of IoT 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 ingestion pipeline data quality, validation, deduplication, and anomaly detection
Apply CI/CD for data pipeline deployment using GitHub Actions or Azure DevOps
Design and maintain ADX update policies and Cosmos DB change feed processors to support downstream data propagation
Create scalable, queryable data models for time-series telemetry, alarm events, geospatial lookups (H3 hexagonal indexing), and fleet/asset metadata
Implement scalable partitioning strategies tailored to Cosmos DB (tenant + device key patterns) and ADX (ingestion time partitioning, row ordering policies)
Model multi-tenant 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 on microservice data contracts and Cosmos DB document schemas supporting operational APIs and analytics queries
Work with platform architects to evolve the next-generation telematics platform data architecture
Partner with backend (JAVA) engineers to support ingestion patterns and data contract design across microservices
Support product and business stakeholders with ADX/KQL analytics queries, reporting, and ad hoc data investigations
Partner with project managers to deliver data milestones predictably and communicate risks early
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 governance, RBAC, and data access controls aligned to multi-tenant SaaS requirements
Create runbooks, architecture documentation, and knowledge-sharing artifacts for the engineering organization

Requirements

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
Deep, hands-on Azure data expertise:
- 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
Strong proficiency in KQL for ADX and SQL for Azure SQL
Working proficiency in Python, pySpark, and/or C#/.NET
Solid understanding of multi-tenant SaaS data architecture including isolation patterns, tenant-aware querying, and shared infrastructure cost management
Experience designing data models for time-series, telemetry, and event-driven workloads at scale
Strong understanding of distributed data systems: partitioning, consistency tradeoffs, and throughput vs. latency optimization
Hands-on experience supporting and owning production SaaS platforms end-to-end
Knowledge of Git for distributed version control, including merge conflict resolution and Git branching strategies
Knowledge of Azure DevOps deployment pipelines
Experience utilizing AI in a data platform ecosystem
Ability to operate independently and cross-functionally across architecture, development, DevOps, and product teams

Technologies

Azure
Cosmos DB
Azure Data Explorer (ADX)
Azure SQL
Microsoft Fabric
Azure Functions
Event Hubs
Service Bus
C#/.NET
Python
pySpark
KQL
SQL
Git
Azure DevOps
GitHub Actions
H3 hexagonal indexing
JAVA
AI
Fabric (Real-Time Analytics, Lakehouse, Eventstream)

Preferred / Nice-to-have

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 in 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

Benefits

Health insurance and holistic wellness programs including generous incentives
Fertility coverage and adoption/surrogacy assistance
Paid time off including up to 15 vacation days, paid holidays, sick leave, and additional options to support volunteer and parental leave
401K match
Educational and training opportunities through company programs along with tuition assistance and student debt support

Compensation

Annual base salary range: USD 127,110 - 177,870
Compensation type: Salary
Incentive eligible: Yes
Sales commission eligible: No
Safety sensitive role: No

Location

Minneapolis, MN (onsite)

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