Ampstek
Azure Data Engineer with DevOps
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is an Azure Data Engineer with DevOps based in Weehawken, NJ, on a contract basis. Key skills include Azure Data Factory, Azure Databricks, and ETL/ELT pipelines. ITAR and W2 requirements apply.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 22, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Weehawken, NJ
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🧠 - Skills detailed
#Data Lake #Data Ingestion #Infrastructure as Code (IaC) #Security #Azure Data Factory #Data Quality #Databricks #Azure #Synapse #Azure Databricks #Deployment #Scala #ADLS (Azure Data Lake Storage) #Azure ADLS (Azure Data Lake Storage) #BI (Business Intelligence) #DevOps #ADF (Azure Data Factory) #Data Engineering #"ETL (Extract #Transform #Load)" #Storage
Role description
"ITAR and W2 Requirement"
Role: Azure Data Engineering with Devops
Location: Weehawken, New Jersey, United States (Onsite)
Key Responsibilities
Design and implement end‑to‑end data solutions on Azure including data ingestion, storage, transformation, and delivery.
Develop and maintain ETL/ELT pipelines using Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake Storage, etc.
Ensure data quality, governance, security, and reliability of data assets.
Collaborate with data analytics/BI teams to ensure the data platform meets business needs and supports downstream analytics, reporting and modelling.
Architect and build CI/CD pipelines (development → test → production) for data and infrastructure changes.
Automate infrastructure provisioning and configuration (Infrastructure as Code) for Azure resources, data platforms, and related services.
Monitor and maintain system availability, performance, scalability and cost‑efficiency of data and DevOps platforms.
Document architecture, processes, data flows, pipeline logic, deployment strategies and standard operating procedures.
Mentor junior team members, promote best practices in data engineering and DevOps, and continuously evolve the tool‑chain and practices.
Thanks
Tonny
tonny@ampstek.com
"ITAR and W2 Requirement"
Role: Azure Data Engineering with Devops
Location: Weehawken, New Jersey, United States (Onsite)
Key Responsibilities
Design and implement end‑to‑end data solutions on Azure including data ingestion, storage, transformation, and delivery.
Develop and maintain ETL/ELT pipelines using Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake Storage, etc.
Ensure data quality, governance, security, and reliability of data assets.
Collaborate with data analytics/BI teams to ensure the data platform meets business needs and supports downstream analytics, reporting and modelling.
Architect and build CI/CD pipelines (development → test → production) for data and infrastructure changes.
Automate infrastructure provisioning and configuration (Infrastructure as Code) for Azure resources, data platforms, and related services.
Monitor and maintain system availability, performance, scalability and cost‑efficiency of data and DevOps platforms.
Document architecture, processes, data flows, pipeline logic, deployment strategies and standard operating procedures.
Mentor junior team members, promote best practices in data engineering and DevOps, and continuously evolve the tool‑chain and practices.
Thanks
Tonny
tonny@ampstek.com
