Data Platform Engineer AI Experience

Applab Systems Inc
  • Redmond, WA
  • $90,000–$95,000 Per Year
  • Instant Apply
1 day ago

Job Description

Position: Data Platform Engineer – AI Experience
Location: Redmond, WA
Employment Type: Full-Time
Salary: $90K–$95K (Max)
Openings: 1

Role Overview:
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
Good to Have:
  • 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.


Have a Great Day!
Warm Regards,
Sania Wadhwa
Technical Recruiter
Contact Details: 609-755-5388
Email:

sania@applabsystems.com


4365 Route 1 South,Suite 105
Princeton, NJ 08540
www.applabsystems.com

Numbers & Facts

LocationRedmond, WA
Salary$90,000–$95,000 Per Year

Skills

  • ADO.NET Entity Frameworkunmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Authenticationunmatched
  • Cloud Architectureunmatched
  • Data Processingunmatched
  • Data Qualityunmatched
  • Data Warehousingunmatched
  • Database Extract Transform and Load (ETL)unmatched
  • Dockerunmatched
  • GraphQLunmatched
  • Hubsunmatched
  • Microservicesunmatched
  • Microsoft .NETunmatched
  • Microsoft ASP.NET (Active Server Page)unmatched
  • Microsoft C# (C Sharp)unmatched
  • Microsoft SQL Serverunmatched
  • Microsoft Windows Azureunmatched
  • Power BIunmatched
  • Production Controlunmatched
  • Production Supportunmatched
  • REST (Representational State Transfer)unmatched
  • React.jsunmatched
  • Reconciliationunmatched
  • SQL (Structured Query Language)unmatched
  • Technical Leadershipunmatched
  • Technical Recruitingunmatched

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