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Seasonal Azure Data Factory Jobs (NOW HIRING)

Azure Data Engineer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

Primary skill- 1. Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required 2. Designing and building of data pipelines using API ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Factory. · Build simple to complex pipelines, activities, Datasets & data flows · Utilize Azure compute services [Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to ...

Azure Data Engr

Houston, TX · On-site

$52.50 - $65.25/hr

Azure Data Factory (ADF) Azure Databricks Python Spark SQL & PySpark Azure Synapse, Azure SQL, Azure DWH Azure Data Lake Storage / Analytics Azure Database Migration Services Knowledge in older ...

Azure Data Engineer

$117K - $140K/yr

Azure Data Engineer Associate (or higher), Azure Data Factory, Job Summary: We are seeking a highly skilled Data Engineer with strong expertise in Azure Data Factory , Azure Databricks , Oracle , and ...

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure ...

Azure Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Design and implement data pipelines using Azure Data Factory (ADF) and Azure Synapse Analytics. * Develop and optimize ETL/ELT processes for structured and semi-structured data. * Build and manage ...

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience with Azure Data Factory * Experience with PySpark * Experience Leading a team of 10 to 15 people onshore/ offshore mix (Leading, Mentoring, Managing) * Experience working within Retail ...

Azure Data Architect

Boston, MA · On-site

$69 - $90/hr

Working with data technologies such as Azure Databricks, Azure Data Factory, and OpenAI Qualifications Job Requirements: 5-10 years of experience in data architecture Five plus years of working with ...

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Seasonal Azure Data Factory information

What unique challenges might I encounter when working as a Seasonal Azure Data Factory professional, and how can I best prepare for them?

As a Seasonal Azure Data Factory professional, you may face challenges such as quickly onboarding to new projects with tight deadlines and adapting to varied data integration requirements across different teams. The role often involves handling large-scale data migration or transformation tasks during peak periods, which requires a solid understanding of Azure Data Factory pipelines, data mapping, and troubleshooting data flow issues. To prepare, familiarize yourself with ADF best practices, stay updated on Azure platform changes, and be ready to collaborate closely with data engineers, analysts, and IT stakeholders to ensure smooth project delivery.

What are the key skills and qualifications needed to thrive as a Seasonal Azure Data Factory Specialist, and why are they important?

To thrive as a Seasonal Azure Data Factory Specialist, you need expertise in data integration, ETL (Extract, Transform, Load) processes, and experience with cloud-based data solutions, typically supported by a background in computer science or related fields. Familiarity with Azure Data Factory, SQL, and related Microsoft Azure services, along with relevant certifications such as Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and interpreting data requirements. These skills ensure efficient data pipeline development, seamless data flow, and the successful delivery of business intelligence solutions on a seasonal or project basis.

What is the difference between Seasonal Azure Data Factory vs Data Engineer?

AspectSeasonal Azure Data FactoryData Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentProject-based, seasonal workloads on cloud platformsFull-time, ongoing data infrastructure development
Industry UsageData integration, ETL workflows during specific seasonsBuilding and maintaining data pipelines across industries

Seasonal Azure Data Factory roles focus on implementing data workflows during specific periods, often requiring cloud and data integration skills. Data Engineers develop and maintain comprehensive data systems, with a broader scope and continuous responsibilities. Both roles involve cloud platforms but differ in scope, duration, and project focus.

What is a Seasonal Azure Data Factory professional?

A Seasonal Azure Data Factory professional is someone who works on a temporary or contract basis to design, implement, and manage data integration solutions using Microsoft's Azure Data Factory platform. Their responsibilities often include creating data pipelines, orchestrating data workflows, and ensuring data is moved, transformed, and loaded efficiently between different sources and destinations in the cloud. Companies typically hire seasonal professionals during high-demand periods, such as large-scale data migrations, end-of-year reporting, or special projects. These professionals are expected to have expertise in Azure cloud services, data integration, and ETL (Extract, Transform, Load) processes. Their work helps organizations handle data more efficiently and make better business decisions.
What cities are hiring for Seasonal Azure Data Factory jobs? Cities with the most Seasonal Azure Data Factory job openings:
What are the most commonly searched types of Azure Data Factory jobs? The most popular types of Azure Data Factory jobs are:
What states have the most Seasonal Azure Data Factory jobs? States with the most job openings for Seasonal Azure Data Factory jobs include:

W2 - DATABASE DEVELOPER/ENGINEER- PYTHON / AZURE DATA FACTORY / AZURE DB

Aptiva Corp

Overland Park, KS • On-site

$54.25 - $67.50/hr

Full-time

Re-posted 6 days ago


Job description

 
 

ROLE : DATABASE DEVELOPER (PYTHON / AZURE DATA FACTORY / AZURE DB)

LOCATION : OVERLAND PARK, KS

DAY 1 ONSITE

5 DAYS/WEEK

We are looking for a highly skilled and experienced Database Developer with deep expertise in Python programming , Azure Data Factory (ADF) , and Azure SQL / Cosmos DB / other Azure databases . The ideal candidate will have a strong background in data engineering, ETL pipeline development, and cloud-based database solutions.

RESPONSIBILITIES:

  • Design, develop, and maintain robust ETL pipelines using Azure Data Factory
  • Write clean, efficient, and reusable Python code for data ingestion, transformation, and automation tasks
  • Work with Azure SQL Database, Azure Cosmos DB , and other Azure data storage services to manage data structures and optimize performance
  • Collaborate with data analysts, engineers, and business teams to gather requirements and deliver scalable data solutions
  • Implement data validation, quality checks, and monitoring across data pipelines
  • Troubleshoot and resolve data pipeline issues and performance bottlenecks
  • Ensure security and compliance across data processes and platforms

QUALIFICATIONS:

  • 5+ years of experience in database development / data engineering
  • Strong expertise in Python , especially for data processing and scripting
  • Proven hands-on experience with Azure Data Factory (ADF) , including pipeline creation, data flows, and triggers
  • Experience with Azure SQL Database , Cosmos DB , or similar cloud-native databases
  • Solid understanding of ETL/ELT concepts , data modeling , and data warehousing
  • Familiarity with version control systems (e.g., Git) and CI/CD pipelines in data workflows
  • Excellent problem-solving and debugging skills
  • Strong communication skills and ability to work in a collaborative environment

BEHAVIORAL SKILLS:

  • Azure Certifications (e.g., Azure Data Engineer Associate )
  • Experience with Databricks , Synapse Analytics , or Power BI
  • Exposure to big data ecosystems and tools