Data Platform Engineer with AI Experience
AppLab Systems Inc
Redmond, WA, United States
17 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$90,000.0 - $95,000.0
Working hours
Regular working hours
Job source
Tech stack
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
+33 more
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
Job 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
Requirements
- 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.
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