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Azure Data Engineer

  • Azure Data Engineer job type Posted on: Nov 07, 2026
  • Azure Data Engineer experience level Programmers.io
  • Azure Data Engineer employment type Redmond, Washington
  • Azure Data Engineer employment type Onsite
  • Azure Data Engineer salary Full-time

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Job Title :

Azure Data Engineer

Job Type :

Full-Time

Job Location :

Redmond Washington United States

Remote :

No

Jobcon Logo Job Description :

Job Description

Role: Azure Data Engineer

\n

Location : Redmond, WA(Hybrid 3 days Onsite)

\n

Job Type : || Full time||

\n

Min. Years of Experience: 8+ Years

\n


\n

Mandatory Skills:

\n

Data Engineering

\n
    \n
  • Azure Databricks, Spark/PySpark
  • \n
  • Azure Synapse Analytics, Azure Data Factory
  • \n
  • ADLS Gen2, Delta Lake
  • \n
  • SQL Server / Azure SQL
  • \n
  • Cosmos DB, Kusto / Azure Data Explorer
  • \n
  • ETL/ELT, Data Warehousing & Data Modeling
  • \n
  • Lakehouse / Medallion Architecture
  • \n
  • Data Quality, Reconciliation & Governance
  • \n
\n


\n

Preferred Profile

\n

A hands-on Data + Services Technical Lead capable of owning enterprise Azure solutions across:

\n

Data Ingestion → Data Processing → Lakehouse/Analytics → APIs & Services → Monitoring → Production Operations

\n


\n

Key Responsibilities:

\n

Data Platform & Engineering:

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


Jobcon Logo Position Details

Posted:

Nov 07, 2026

Reference Number:

db927d191134d561

Employment:

Full-time

City:

Redmond

Job Origin:

ziprecruiter

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Job Description

Role: Azure Data Engineer

\n

Location : Redmond, WA(Hybrid 3 days Onsite)

\n

Job Type : || Full time||

\n

Min. Years of Experience: 8+ Years

\n


\n

Mandatory Skills:

\n

Data Engineering

\n
    \n
  • Azure Databricks, Spark/PySpark
  • \n
  • Azure Synapse Analytics, Azure Data Factory
  • \n
  • ADLS Gen2, Delta Lake
  • \n
  • SQL Server / Azure SQL
  • \n
  • Cosmos DB, Kusto / Azure Data Explorer
  • \n
  • ETL/ELT, Data Warehousing & Data Modeling
  • \n
  • Lakehouse / Medallion Architecture
  • \n
  • Data Quality, Reconciliation & Governance
  • \n
\n


\n

Preferred Profile

\n

A hands-on Data + Services Technical Lead capable of owning enterprise Azure solutions across:

\n

Data Ingestion → Data Processing → Lakehouse/Analytics → APIs & Services → Monitoring → Production Operations

\n


\n

Key Responsibilities:

\n

Data Platform & Engineering:

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


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