Programmers.io
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 8+ years of experience, focusing on Azure resources, data pipelines, and automation using Terraform and Azure DevOps. Azure and Databricks certifications are required. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Data Processing #Jenkins #Terraform #Python #Data Engineering #Documentation #Spark (Apache Spark) #Monitoring #Security #DevOps #PySpark #ML Ops (Machine Learning Operations) #Databricks #ADLS (Azure Data Lake Storage) #SQL (Structured Query Language) #Azure DevOps #Data Pipeline #Azure Machine Learning #AI (Artificial Intelligence) #Cloud #Jira #ADF (Azure Data Factory) #GitHub #"ETL (Extract #Transform #Load)" #Azure SQL #Synapse #Storage #Delta Lake #Deployment #ML (Machine Learning) #Azure
Role description
· Cloud & Data Engineer with hands-on experience deploying and administering Azure resources, including compute, networking, storage, security, and monitoring components
· Proven ability to automate cloud provisioning using Terraform, ARM templates, Azure DevOps, GitHub Actions, and Jenkins to improve deployment speed and reliability.
· Experienced in designing and building distributed data pipelines using ADF, ADLS Gen2, Azure SQL, Synapse, Event Hubs, and Stream Analytics.
· Strong background in Databricks administration and PySpark development, delivering high-performance ELT pipelines, Delta Lake solutions, and workspace governance.
· Familiar with ML Ops frameworks, Azure Machine Learning (AML), MCP servers, and enterprise AI Search integration for production-grade AI workloads.
· Strong command of Python, PySpark, and SQL performance tuning for large-scale data processing and analytics workloads.
Responsibilities
• Identify, Clarify, Analyze and Confirm any requests for data sourcing or data changes for our ETL pipelines.
• Ensure that the requirements are clear, edge cases are considered, and impact of the changes are understood.
• Effectively manage our backlog prioritized and is a clear reflection of what the team is currently working on.
• Assist and support the developers from intake, to development, testing, and release of new features.
• Liaise between our Stakeholder, Product Owners, and upstream source systems.
• Ensure our documentation and our runbooks are up to date.
• Keep up to date with the latest industry trends and technologies related to data engineering
Preferred Qualifications
· 8+ years of relevant experience in a related field of job function.
· Azure certified, Databricks certified
· Experience with Jira, Confluence.
· Experience with APIs, SQL.
· Cloud & Data Engineer with hands-on experience deploying and administering Azure resources, including compute, networking, storage, security, and monitoring components
· Proven ability to automate cloud provisioning using Terraform, ARM templates, Azure DevOps, GitHub Actions, and Jenkins to improve deployment speed and reliability.
· Experienced in designing and building distributed data pipelines using ADF, ADLS Gen2, Azure SQL, Synapse, Event Hubs, and Stream Analytics.
· Strong background in Databricks administration and PySpark development, delivering high-performance ELT pipelines, Delta Lake solutions, and workspace governance.
· Familiar with ML Ops frameworks, Azure Machine Learning (AML), MCP servers, and enterprise AI Search integration for production-grade AI workloads.
· Strong command of Python, PySpark, and SQL performance tuning for large-scale data processing and analytics workloads.
Responsibilities
• Identify, Clarify, Analyze and Confirm any requests for data sourcing or data changes for our ETL pipelines.
• Ensure that the requirements are clear, edge cases are considered, and impact of the changes are understood.
• Effectively manage our backlog prioritized and is a clear reflection of what the team is currently working on.
• Assist and support the developers from intake, to development, testing, and release of new features.
• Liaise between our Stakeholder, Product Owners, and upstream source systems.
• Ensure our documentation and our runbooks are up to date.
• Keep up to date with the latest industry trends and technologies related to data engineering
Preferred Qualifications
· 8+ years of relevant experience in a related field of job function.
· Azure certified, Databricks certified
· Experience with Jira, Confluence.
· Experience with APIs, SQL.
