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Seasonal Azure Data Factory Jobs (NOW HIRING)

Kaav Inc.

Data Engineer - Azure Data Factory

Addison, TX · Hybrid

$110K - $133K/yr

The ideal candidate will have experience with Azure Data Factory (ADF) , ETL development, and structuring data lakes/schemas. This role requires initiative, problem-solving ability, and flexibility ...

Cloud think technologies LLC

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 ...

Cognizant

Data Engineer (Azure Data Factory & Snowflake)

$117K - $140K/yr

Cognizant is seeking a Data Engineer to build, operate, and improve enterprise data pipelines and models using Azure Data Factory and Snowflake. The role involves collaborating with stakeholders to ...

Purple Drive Technologies

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Lead Technical Implementation Spearhead the development of data pipelines and modeling layers using Azure services (Azure Data Factory, Synapse Analytics, ADLS Gen2), Databricks, and dbt.Data ...

Cognizant

Data Engineer (Azure Data Factory & Snowflake)

$117K - $140K/yr

Responsibilities : • Design, develop, and maintain data integration and orchestration workflows in Azure Data Factory (pipelines, datasets, linked services, triggers, parameters, and reusable ...

Prophecy Technologies

Azure Data Engineer

Dallas, TX · On-site

$54.50 - $67.50/hr

* Strong hands-on experience with Azure Data Factory, Databricks and Azure Cloud services * Good knowledge in Blob Storage, ADLS, Azure Logic Apps, Key Vault * Ability to design Azure Data Factory (ADF ...

Sapsol Technologies Inc

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 ...

talentmovers inc

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 ...

Purple Drive Technologies

Azure Data Engineer

Cincinnati, OH · On-site

$52.75 - $65.50/hr

Required skills - Azure SQL DB, Azure Data Factory, Synapse Analytics, Power BI,Azure Data Lake, PySpark, SparkSQL Python Minimum 6-8 years of relevant experience working as Azure analytics ...

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All JobsAzure Data Factory JobsSeasonal Azure Data Factory Jobs

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:
Seasonal Azure Data Factory jobs near you

Data Engineer - Azure Data Factory

Kaav Inc.

Addison, TX • Hybrid

$110K - $133K/yr

Other

Posted 2 days ago

Job description

Job Title: Data Engineer
Inperson Interview - Only Locals
  • Location: Addison, TX - only Locals (Hybrid - Mon-Thu Onsite, Fri WFH)
    Type: Long Term
    Interview Process:
    1. Preliminary remote interview with Hiring Manager
    2. Onsite technical panel & coding assessment (half-day)
    3. Final onsite interview with SVP (personality/social fit)
    Job Overview
    Concentra is seeking a Data Engineer with strong hands-on experience in building scalable data pipelines and working with healthcare/clinical datasets. The ideal candidate will have experience with Azure Data Factory (ADF), ETL development, and structuring data lakes/schemas. This role requires initiative, problem-solving ability, and flexibility to contribute across data architecture, cleaning, and integration tasks.
    Key Responsibilities
    • Design, build, and maintain data pipelines, ETL processes, and integration workflows using Azure Data Factory (ADF).
    • Work with healthcare/clinical datasets ensuring compliance with HIPAA, EHR systems, and industry standards.
    • Structure and optimize data lakes, data warehouses, and schemas for analytics and reporting.
    • Collaborate with data scientists, analysts, and business teams to support diverse data needs.
    • Perform data cleaning, transformation, and migration to support analytics and application integration.
    • Troubleshoot pipeline failures, monitor performance, and implement process improvements.
    • Ensure scalability, reliability, and data governance across all workflows.
    Required Skills & Qualifications
    • 3-6 years of professional Data Engineering experience.
    • Strong hands-on expertise with Azure Data Factory (ADF) and building ETL/ELT pipelines.
    • Experience with healthcare/clinical data (HIPAA compliance, EHR systems).
    • Proven ability to structure data lakes/schemas and optimize for performance.
    • Solid SQL development and data modeling experience.
    • Ability to handle multiple roles including data architecture, cleaning, and integration.
    • Strong initiative, problem-solving, and communication skills.
    • Must be willing and able to attend onsite interviews and work in a hybrid model.
    Important Notes
    • Candidates must be local to Addison, TX (no relocation).
    • Multiple interview rounds, including onsite coding assessments, are required.
    • Do not submit candidates who have applied directly or been previously submitted to Concentra (name checks will be performed).

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