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.

Modernization & Reliability

• 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

Cloud, DevOps & Technical Leadership

• 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.