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Seasonal Azure Data Factory Jobs (NOW HIRING)

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 ...

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

Santa Clara, CA · On-site

$74.75 - $96.25/hr

... FACTORY, AZURE DATA LAKE, Stream Analytics, and Notification Hubs • Architect scalable data processing and analytics solutions, including technical feasibility for Big Data storage, processing and ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,Azure DevOps:-Boards, Repos, Pipelines, Test Plans * Databases: * Must Have: SQL servers/SQL databases, MongoDB, * BI Platforms:

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Strong experience in ADLS, Data Lake, Delta Lake Gen II, Synapse, Azure data Factory, Azure data bricks * Data Processing, batch processing, data cleansing, DQ * Data Services like Azure analytics ...

Azure Data Architect

Tampa, FL · On-site

$60 - $78.25/hr

... Factory, Azure Synapse, and other relevant tools. • Ensure data security and compliance by implementing appropriate measures and best practices. • Perform data profiling, cleansing, and ...

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Deep experience with Azure Data Factory (ADF), ADLS, and Azure Synapse Analytics. * Expert-level ability with Databricks for large-scale data processing and analytics. * Strong experience using dbt ...

$46.75 - $61/hr

Deep experience with Azure Data Factory (ADF), ADLS, and Azure Synapse Analytics. * Expert-level ability with Databricks for large-scale data processing and analytics. * Strong experience using dbt ...

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 ...

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 ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This role involves designing, developing, and maintaining scalable data pipelines utilizing Azure Data Factory (ADF), Databricks, and Snowflake to support enterprise data and analytics initiatives.

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 ...

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 ...

Azure_Talend Data Engineer

Wilmington, DE · On-site

$53.25 - $66.25/hr

... Factory , Azure Data Analytics, Azure Data Lake, Azure Data Catalogue, LogicApps & FunctionApps • Experience on Python scripting ,Spark SQL & PySpark • Experience in Talend • Good to have ...

Showing results 21-40

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:

Azure Data Architect

Boston, MA • On-site

Trinity Technology Solutions
Recruiting and Staffing Services • 1 - 10 employees

$69 - $90/hr

Full-time

Re-posted 18 days ago


Job description

In this role, you will be the Lead on designing, implementing, and managing data architecture and cloud-based solutions with Microsoft Azure. Primary responsibilities include:

  • Designing data integration solutions
  • Developing an Azure Fabric data architecture
  • Developing and managing databases, data lakes, and other data storage solutions using Azure services
  • 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 Azure, particularly data services like Fabric, Azure SQL Database, Azure Data Lake Storage

Strong knowledge of data modeling and integration tools such as Azure Data Factory and CI/CD tools

Strong knowledge of SQL and experience with programming languages such as Python

Why is This a Great Opportunity

This is a BRAND NEW position in the company reporting into the Head of I.T.  Opportunity to be the Lead Azure expert in the company.  All I.T. decisions related to Azure go through you.  Very stable, friendly, and polished company to work for with a stellar reputation in the industry.  Employees are treated very well and attrition rate is extremely low.  In these turbulent economic times, this company is a safe haven!  They have not had layoffs in their history.