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Seasonal Azure Data Factory Jobs (NOW HIRING)

Georgia IT, Inc.

Azure Data Engineer

Redmond, WA · On-site

$61.50 - $76.50/hr

Responsibilities : • Expertise with Azure data services, such as Microsoft Fabric, Azure Analysis Services, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory ...

ClifyX

Azure PAAS Developer

San Ramon, CA · On-site

$60.25 - $74.75/hr

... Data factory , Azure Power Shell scripting and CLI. • Knowledge of SQL and no-Sql. • Good to have Knowledge in Analytics Models and Store Procedures. • Knowledge of SQL query is a must.

Northern Base

Azure Data Architect

Dublin, OH · On-site

$61.25 - $79.75/hr

Strong experience with Azure data tools (e.g., Azure Data Factory, Fabric, Synapse, Databricks, ADLS) * Proven ability to evaluate and recommend architecture solutions * Solid understanding of data ...

ECOM

Azure Consultant

Boston, MA · On-site

$59.75 - $74.25/hr

The role focuses on utilizing Azure technologies such as Data Bricks, Data Lake storage, and Azure Data Factory. Qualifications : Required : • Data Bricks highly preferred Delta Lake • Data Lake ...

CYNET SYSTEMS

Azure Data Lead

New York, NY

$60 - $65/hr

Experience with Azure Databricks, Azure Data Factory, and ADLS Gen2. * Knowledge of Apache Spark, Delta Lake, Data Lakehouse architecture, and distributed computing. * Experience with MS SQL and ...

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

CYNET SYSTEMS

Azure Data Lead

New York, NY · On-site

$60 - $65/hr

Experience with Azure Databricks, Azure Data Factory, and ADLS Gen2. * Knowledge of Apache Spark, Delta Lake, Data Lakehouse architecture, and distributed computing. * Experience with MS SQL and ...

ECOM

Lead Manager, Azure Data Engineer

Required : • Azure Data Lake (Mandatory) • Data Factory (Mandatory) • Synapse/SQL Datawarehouse - (Mandatory) • Scala or Python or Spark, #C/.Net- working knowledge of one of the languages ...

CYNET SYSTEMS

Azure Data Lead

Manhattan, NY · On-site

$60 - $65/hr

Experience with Azure Databricks, Azure Data Factory, and ADLS Gen2. Knowledge of Apache Spark, Delta Lake, Data Lakehouse architecture, and distributed computing. Experience with MS SQL and Oracle ...

innovitusa

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Factory * Azure Data Lake Storage * Azure Synapse Analytics * SQL and Python * ETL/ELT development * Data modeling and data warehousing * Data integration and pipeline development * Azure ...

Northern Base

.NET Azure Fullstack Developer

Bellevue, WA · Remote

$56.25 - $69.75/hr

Experience with Azure Data Factory (ADF) * Experience with Azure Cloud Services * Experience with Kusto and Azure Data Platforms * Experience with Power BI Reporting Solutions * Experience with ...

MDAEdge

Azure Cloud Developer

Princeton, NJ · On-site

$58.25 - $72.25/hr

Required : • Azure Data Factory • Azure Logic Apps • Azure Functions • Azure Service Bus • Azure SQL Database • SQL • Databricks • 3+ years' programming experience with JavaScript • ...

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 ...

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Seasonal Azure Data Factory information

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 are the key skills and qualifications needed to thrive as a seasonal Azure Data Factory professional?

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 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 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 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

Azure Data Engineer || Dallas, TX (Onsite)

Dallas, TX • On-site

Zodiac Solutions
Library and Information Services • 11 - 50 employees
Learn more about Zodiac Solutionsexternal

$60 - $63/hr

Contractor

Re-posted 9 days ago

Job description

Title : Azure Data Engineer 

Location : Dallas, TX (Onsite)

Job Description:

Candidate Profile / Qualification

·       A Minimum of a Bachelor’s degree in Computer Science or related software engineering discipline, or equivalent

·       7-9 years of experience managing SQL Queries, Data Lake, Data Bricks, PySpark, Synapse, Data factory etc.

·       Strong ETL pipeline development experience with Azure Ecosystem like Azure Data Bricks, Azure Data Factory. Build simple to complex notebooks, pipelines, activities, Datasets & data flows.

·       Experience with message ingestion systems like Kafka / Azure Event Hub.

·       Experience in data modelling and Proficient in SQL developer skills in writing stored procedures, functions, transformations etc.

·       Experience in PySpark and data factory is must

·       Knowledge in Service provisioning, scripted provisioning, blueprint development for data service deployment etc.

·       Excellent oral and written communication skills.

·       Candidate should possess a strong work ethic, good interpersonal and communication skills, and a high energy level