Azure Data Engineer - Full time only - Redmond, WA (Onsite)
Job Role:
Data Platform Engineer (Synapse/ Azure Data Bricks/ Apache Spark & Scala)
Position:
FTT
Salary :
$115K / Annual Salary
Location:
Redmond, WA (Onsite)
Primary Skills: Azure Data Brick, Azure Synapse, Pyspark, Apache Spark & Scala
Job Description
Job Summary: 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 candidate will design, build, modernize, and operate enterprise-scale data platforms and services on Microsoft Azure.
Mandatory Skills:
Data Engineering- Azure Databricks, Spark/PySpark
- Azure Synapse Analytics, Azure Data Factory
- ADLS Gen2, Delta Lake
- SQL Server / Azure SQL
- Cosmos DB, Kusto / Azure Data Explorer
- ETL/ELT, Data Warehousing & Data Modeling
- Lakehouse / Medallion Architecture
- Data Quality, Reconciliation & Governance
Preferred Profile
A hands-on Data + Services Technical Lead capable of owning enterprise Azure solutions across:
Data Ingestion → Data Processing → Lakehouse/Analytics → APIs & Services → Monitoring → Production Operations
Key Responsibilities:
Data Platform & Engineering:
- Design and build scalable Azure data platforms, ETL/ELT pipelines, and analytical solutions.
- Develop large-scale data processing using Azure Databricks, Spark/PySpark, Azure Synapse, and Azure Data Factory.
- Design Lakehouse/Medallion architectures using ADLS Gen2, Delta Lake, and Bronze/Silver/Gold layers
Backend Services & Integration:
- Design and develop REST APIs and backend services using C#, .NET, and Core.
- Build data and integration services using Azure SQL, Cosmos DB, Kusto, Azure Functions, Event Hubs, and Service Bus.
- Implement microservices and event-driven processing patterns with secure authentication and authorization.
- Modernize legacy data pipelines, services, APIs, storage platforms, and application components.
- Support platform and data migrations while ensuring functional and data parity.
- Implement logging, telemetry, dashboards, and proactive alerting using Azure Monitor and Application Insights
- Build and maintain CI/CD pipelines using Azure DevOps and Git.
- Implement secure cloud practices using Azure Key Vault, identity, authentication, and access controls.
- Support Docker and Kubernetes/AKS-based workloads where applicable.