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Evening Azure Data Factory Jobs (NOW HIRING)

Kaav Inc.

Sr. Data Engineer | ONSITE

Dallas, TX · On-site

$54.75 - $67.75/hr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions o CI/CD: GitHub, Jenkins, Azure DevOps, Terraform o BI Analytics Tool Stack - Cognos ...

InfoPeople Corp

Azure Data Engineer

Manhattan, NY · On-site

$60.75 - $75.25/hr

... Factory for pipeline orchestration and data movement • Familiarity with Azure Databricks for large-scale data transformation • Experience with Azure DevOps for version control, pipeline ...

NAVA Software Solutions

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Strong exp in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project stakeholders ...

Centstone

Senior Azure Data Architect

Hazlet, NJ · On-site

$65.50 - $85.25/hr

Define and implement data ingestion pipelines using Azure Data Factory, Azure Databricks, Azure Synapse, and related services. * Design scalable and secure data models for clinical, claims, EMR/EHR ...

Sarian, Inc.

Azure Data Technical Lead

$65 - $84.75/hr

Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure Databricks, and Azure SQL Database. • Data Architecture: Strong understanding of data modelling, ETL processes, data warehousing ...

SmartIPlace

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Top 3 Must Skills 1. 12+ years hands-on experience building scalable ETL/ELT pipelines using Azure Data Factory (mapping data flows, pipelines, triggers)& Synapse pipelines. 2. Experience building ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in Visualisation like Power BI * Implement end-to-end data pipelines using Cosmos Azure Data Factory

1 point system

Data Engineer (Azure / Spark)

New York, NY · Remote

$56.25 - $69.75/hr

Azure Data Factory (ADF): Hands-on experience building and orchestrating ETL pipelines. * HDInsight: Deploying and managing Hadoop/Spark clusters for large-scale analytics. * Azure Data Lake Storage ...

Perficientcorp Inc

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions CI/CD: GitHub, Jenkins, Azure DevOps, Terraform BI Analytics Tool Stack - Cognos ...

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All JobsEvening Azure Data Factory Jobs

Evening Azure Data Factory information

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$79

How much do evening azure data factory jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for evening azure data factory in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Azure Data Factory Engineer, and why are they important?

To thrive as an Azure Data Factory Engineer, you need a solid understanding of data integration, ETL processes, and cloud data services, often backed by a degree in computer science or a related field. Familiarity with Azure Data Factory, Azure SQL, Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, attention to detail, and effective collaboration are critical soft skills for success in this position. Mastery of these skills ensures reliable, scalable data solutions and smooth cross-team workflow in complex cloud environments.

What are Evening Azure Data Factory jobs?

Evening Azure Data Factory jobs are positions that involve working with Microsoft's Azure Data Factory platform during evening or night shifts. These roles typically require managing, developing, and troubleshooting data integration solutions, such as ETL (Extract, Transform, Load) pipelines, in a cloud environment. Individuals in these positions may monitor data workflows, ensure timely data transfers, and resolve issues that arise outside traditional business hours. This schedule is ideal for organizations needing 24/7 data operations or for professionals seeking flexible work hours.

What are the typical responsibilities and team interactions for an Evening Azure Data Factory role?

In an Evening Azure Data Factory role, you'll primarily be responsible for monitoring and maintaining data pipelines, troubleshooting issues, and ensuring smooth data workflows during off-peak hours. You may collaborate remotely with daytime teams to resolve escalated incidents or deploy updates, and often document changes or findings for the next shift. This position requires strong communication skills as you'll coordinate handoffs and report progress to colleagues across different time zones. The evening schedule offers a unique opportunity to work independently while still being an integral part of the larger data engineering team.
More about Evening Azure Data Factory jobs
What cities are hiring for Evening Azure Data Factory jobs? Cities with the most Evening Azure Data Factory job openings:
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Evening Azure Data Factory jobs near you
Infographic showing various Evening Azure Data Factory job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Azure Data & Development Architect

Azure Data & Development Architect

SunStone Consulting LLC

Harrisburg, PA • Remote

$65 - $84.75/hr

Full-time

Posted 23 days ago

Job description

SunStone is seeking an experienced technical leader to design, build, and operationalize end‑to‑end data solutions on Microsoft Azure while also delivering hands‑on development and automation across the Microsoft Power Platform and scripting ecosystems. This role blends cloud data architecture, data engineering, application development, and automation to enable real‑time analytics and reduce manual effort across multiple service lines.

Key Responsibilities

  • Design and deliver Azure data architecture: Lead the design and deployment of scalable, secure, and cost‑efficient data pipelines and analytics platforms on Azure (Data Factory, Synapse, Databricks, Event Hubs, Stream Analytics, Blob/ADLS).
  • Build data engineering solutions: Implement ETL/ELT pipelines, data models, and SQL‑based workflows to support operational systems and strategic analytics.
  • Power Platform development: Architect and develop Power Apps, Power Automate flows, and Power BI integrations to streamline business processes and surface analytics.
  • Automation and integration: Create robust PowerShell solutions and API integrations for cloud orchestration, administrative automation, and system-to-system connectivity.
  • Application development: Develop Python applications for web scraping, data ingestion, data science prototypes, and custom business tools.
  • Process optimization: Automate repetitive tasks using VBA and Python to reduce manual effort and improve accuracy.
  • Governance and best practices: Define and enforce data governance, security, monitoring, and CI/CD practices for data and automation pipelines.
  • Cross‑functional leadership: Collaborate with service line leaders, data engineers, analysts, and IT operations to translate business needs into technical solutions and mentor engineering teams.
  • Operational excellence: Establish observability, alerting, and runbooks for production data systems and automation workflows.

Required Qualifications

  • Experience: 5+ years in data engineering, cloud architecture, or software development with at least 3 years focused on Microsoft Azure data services.
  • Cloud skills: Hands‑on experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, ADLS/Blob Storage, and Azure networking/security patterns.
  • Data engineering: Strong SQL expertise and experience designing ETL/ELT pipelines, data modeling, and performance tuning.
  • Power Platform: Proven experience building Power Apps, Power Automate flows, and integrating Power Platform with Azure services.
  • Scripting and automation: Advanced PowerShell skills for automation and API integration; experience with CI/CD for infrastructure and code.
  • Programming: Proficient in Python for application development, data processing, and automation.
  • Process automation: Experience using VBA or Python to automate business workflows and reporting.
  • Soft skills: Strong communication, stakeholder management, and ability to lead technical design discussions and mentor engineers.

Preferred Qualifications

  • Azure certifications such as Azure Solutions Architect, Azure Data Engineer, or Power Platform Developer.
  • Familiarity with Databricks, Spark, or other big‑data processing frameworks.
  • Knowledge of data governance frameworks, metadata management, and data catalog tools.
  • Knowledge of the healthcare industry/data

Tools and Technologies

  • Cloud: Azure Data Factory, Azure Synapse, Azure Databricks, Event Hubs, ADLS/Blob Storage, Azure Functions.
  • Power Platform: Power Apps, Power Automate, Power BI.
  • Languages: SQL, Python, PowerShell, VBA.
  • DevOps: Git, Azure DevOps or GitHub Actions, CI/CD pipelines.
  • Monitoring: Azure Monitor, Log Analytics, Application Insights.


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