Azure Data Engineer – Full time only – Redmond, WA (Onsite)

Mpower Plus Rezolve AI Group LTD; Redmond (WA); On-site; USD 104,000 - 127,000; Full time

Job summary

Mpower Plus Rezolve AI Group LTD in Redmond, WA is seeking a hands-on Data Platform Engineer to design, build, and modernize enterprise-scale data platforms on Microsoft Azure. This onsite role focuses on Azure data engineering, backend services, APIs, analytics, and cloud architecture to operate data platforms and services.

The candidate will develop ETL/ELT pipelines with Azure Databricks, Spark/PySpark, Synapse, and Data Factory, while designing lakehouse architectures and ensuring data

Qualifications

• Hands-on Data Platform engineering experience in Azure.
• Experience with enterprise Azure cloud architecture and APIs.
• Strong background in data engineering, ETL/ELT, data warehousing and governance.

Responsibilities

• Design and build scalable Azure data platforms and pipelines.
• Develop large-scale data processing using Azure Databricks, Spark/PySpark, Synapse and Data Factory.
• Design Lakehouse architectures with ADLS Gen2, Delta Lake and Bronze/Silver/Gold layers.

Skills

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

Data Quality & Governance

REST APIs

C# / .NET

Tools

Azure Databricks

Spark/PySpark

Azure Synapse

Azure Data Factory

Job description

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.