> Markdown version of [/jobs/ext/3617354-data-platform-engineer-with-ai-experience](https://www.wearedevelopers.com/jobs/ext/3617354-data-platform-engineer-with-ai-experience). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Platform Engineer with AI Experience

- **Company:** AppLab Systems Inc
- **Location:** Redmond, WA, United States
- **Salary:** $90,000.0 - $95,000.0
- **Contract:** Permanent contract
- **Skills:** ASP.NET, .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Application Performance Management, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, DevOps, Entity Framework, Key Management, Microsoft SQL Server, SQL Azure, Power BI, Kusto Query Language, Azure Data Lake, TypeScript, Azure Service Bus, Data Processing, Data Ingestion, Azure Data Factory, ReactJS, Apache Spark, Backend, Git, Data Lakes, AngularJS, Pyspark, Kubernetes, Cosmos DB, Graphql, Data Management, Api Design, Restful APIs, Azure Synapse Analytics, Serverless Computing, Docker, Databricks, Microservices
- **Published:** October 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/75899633-data-platform-engineer-with-ai-experience

## About the Role

* AI/ML or AI-enabled analytics experience
 * React/Angular and TypeScript
 * GraphQL
 * Power BI
 * Infrastructure as Code
 * SRE / Production Support experience

The ideal candidate should be comfortable owning solutions across data ingestion ? data processing ? lakehouse/analytics ? APIs & services ? monitoring ? production operations.

## Description

We are looking for a hands-on Technical Lead - Data Platform & Services Engineering with strong expertise in Azure Data Engineering, backend services, APIs, analytics, and cloud architecture. The role involves designing, building, modernizing, and operating enterprise-scale data platforms and services on Microsoft Azure.

Key Technical Requirements:

Data Engineering

 * Azure Databricks, Spark/PySpark
 * Azure Synapse Analytics and Azure Data Factory
 * ADLS Gen2, Delta Lake, Lakehouse/Medallion Architecture
 * SQL Server / Azure SQL
 * Cosmos DB and Kusto / Azure Data Explorer
 * ETL/ELT, data warehousing, data modeling
 * Data quality, reconciliation, and governance

Backend & Services

 * C#, .NET / ASP.NET Core
 * REST APIs and Microservices
 * Azure Functions
 * Event Hubs and Service Bus
 * Entity Framework Core
 * Authentication & Authorization

Cloud & DevOps

 * Microsoft Azure
 * Azure DevOps, Git, and CI/CD
 * Azure Monitor and Application Insights
 * Azure Key Vault
 * Docker / Kubernetes