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Full Time Azure Data Factory Developer Jobs in Illinois

Azure Data Architect

Chicago, IL · On-site

$65.50 - $85.25/hr

... Factory, Azure Key Vault, Entra, Private Endpoints, Azure AI Services, Open AI, Terraform, Azure DevOps, and other related technologies. • Help define data-centric solutions to meet business ...

Data Engineer (ETL / Python Developer)

Springfield, IL · On-site

$113.50K - $136.30K/yr

This role spans Azure Data Factory, Databricks, Snowflake, Informatica, and Python-based frameworks ... Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD pipelines)

ETL Data Engineer

Springfield, IL · Remote

$113.50K - $136.30K/yr

Build and maintain pipelines using Azure Data Factory, Synapse Pipelines, and/or Databricks ... Handle SCD (Type 1/2), CDC, and complex transformation logic Platform & DevOps * Build CI/CD ...

Data Engineer (ETL / Python Developer)

Springfield, IL · On-site

$113.50K - $136.30K/yr

This role spans Azure Data Factory, Databricks, Snowflake, Informatica, and Python-based frameworks ... Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD pipelines)

Data Engineer

Chicago, IL

$46.07 - $68.64/hr

Data Management Work Type: Full Time (Total FTE between 0. 9 and 1. 0) Shift: Shift 1 Work Schedule ... Azure Data Factory, Apache Kafka and Apache Camel. • Experience designing and implementing ...

... Factory, Azure Data Lake Storage (ADLS), Databricks, and Azure DevOps. In this capacity, the Senior Data Engineer will: * Design, build and manage scalable data pipelines usingAzure Data Factory (ADF ...

Azure Cloud expertise , including Azure DevOps, Azure Databricks, and Azure Data Factory * Strong programming skills in Python and PySpark , with experience in multiprocessing and multithreading for ...

Data Engineer

Chicago, IL

$118K - $141.60K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Senior Python Developer

Chicago, IL · On-site

$125.20K - $168.40K/yr

... SQL, Azure Data Factory, Blob Storage). * Implement data validation, testing, and monitoring ... Mentor junior developers and advocate for best practices in coding, security, and CICD. Required ...

IT Data Engineer

Lake Forest, IL · On-site

$113.40K - $136.10K/yr

Create and maintain workflows using tools such as Azure Data Factory, Dataflow Gen2, Pipeline ... engineering solutions. * Hands-on experience with cloud data platforms (Azure Synapse, Azure Data ...

IT Data Engineer

Lake Forest, IL · On-site

$113.40K - $136.10K/yr

Create and maintain workflows using tools such as Azure Data Factory, Dataflow Gen2, Pipeline ... Formerly Pactiv Evergreen Employment Type: FULL_TIME

IT Data Engineer

Lake Forest, IL · On-site

$113.40K - $136.10K/yr

Create and maintain workflows using tools such as Azure Data Factory, Dataflow Gen2, Pipeline ... Formerly Pactiv Evergreen Employment Type: FULL_TIME

IT Data Engineer

Lake Forest, IL · On-site

$113.40K - $136.10K/yr

Create and maintain workflows using tools such as Azure Data Factory, Dataflow Gen2, Pipeline ... engineering solutions. * Hands-on experience with cloud data platforms (Azure Synapse, Azure Data ...

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Full Time Azure Data Factory Developer information

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

To thrive as a Full Time Azure Data Factory Developer, you need expertise in data integration, ETL processes, SQL, and a strong understanding of Azure cloud services, typically supported by a degree in computer science or a related field. Experience with Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data workflows. These competencies ensure secure, efficient, and scalable data solutions that drive business intelligence and analytics initiatives.

What are some common challenges Full Time Azure Data Factory Developers face when integrating data from multiple sources?

Full Time Azure Data Factory Developers often encounter challenges such as handling varying data formats, ensuring data consistency, and managing real-time versus batch data loads when integrating information from multiple sources. Additionally, troubleshooting pipeline failures and optimizing data flows for performance can require strong problem-solving skills. Collaboration with data architects, database administrators, and business analysts is crucial to address these challenges and ensure that data integration processes align with organizational goals.

What does a Full Time Azure Data Factory Developer do?

A Full Time Azure Data Factory Developer is responsible for designing, developing, and maintaining data integration solutions using Microsoft Azure Data Factory. They build and manage data pipelines to extract, transform, and load (ETL) data from various sources into cloud-based data storage or analytics platforms. Their role involves collaborating with data engineers, analysts, and other stakeholders to ensure efficient and reliable data workflows. They also optimize data processes to enhance performance, troubleshoot issues, and ensure security and compliance standards are met.

What is the difference between Full Time Azure Data Factory Developer vs Data Engineer?

AspectFull Time Azure Data Factory DeveloperData Engineer
Primary FocusDesigning, developing, and maintaining data pipelines using Azure Data FactoryBuilding, optimizing, and managing data infrastructure and pipelines across various platforms
Required SkillsAzure Data Factory, SQL, ETL processes, cloud servicesSQL, Python, Spark, cloud platforms, data modeling
CertificationsAzure Data Engineer Associate, Azure certificationsGoogle Cloud, AWS, or Azure certifications, depending on platform
Work EnvironmentCloud-based data projects within organizations using AzureBroader data infrastructure projects across multiple platforms

While both roles involve data pipeline development, the Full Time Azure Data Factory Developer specializes in Azure Data Factory and cloud-based ETL processes, whereas the Data Engineer has a broader scope, working with various tools and platforms to build comprehensive data solutions.

What are the most commonly searched types of Azure Data Factory Developer jobs in Illinois? The most popular types of Azure Data Factory Developer jobs in Illinois are:
What are popular job titles related to Full Time Azure Data Factory Developer jobs in Illinois? For Full Time Azure Data Factory Developer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Full Time Azure Data Factory Developer jobs in Illinois look for? The top searched job categories for Full Time Azure Data Factory Developer jobs in Illinois are:
What cities in Illinois are hiring for Full Time Azure Data Factory Developer jobs? Cities in Illinois with the most Full Time Azure Data Factory Developer job openings:

$65.50 - $85.25/hr

Full-time

Posted 16 days ago


Job description

Overview:
Title: Azure Data Architect
Experience requested: 10 +years
H1B
Location: ONSITE- Chicago, IL
Role: Azure Data Architect
Description:
"• Experience of setting up Data Governance, catalogue and self-service in Data Lakehouse
• Influence leaders in development, client operations, and IT infrastructure areas to plan and prioritize work and ensure delivery of business application support.
• Partner with project and product teams to embrace emerging technologies.
• Developing and researching technologies such as Databricks, Fabric, Snowflake, Azure SQL, Data Factory, Azure Key Vault, Entra, Private Endpoints, Azure AI Services, Open AI, Terraform, Azure DevOps, and other related technologies.
• Help define data-centric solutions to meet business requirements.
• Collaborate with development teams on direction and apply depth of knowledge to design strategies, make recommendations for implementation of new systems and technologies, and facilitate the design and implementation of data architecture.
• Perform testing - including defining criteria, creating test scripts and scenarios, debugging, and documenting results.
• Provide ongoing support for applications - including monitoring and processing, handling customer questions and queries, investigating and solving system problems, and providing on-call support services.
• Help create and maintain all required documentation per established processes and methodologies.
• Perform other duties, project work, etc. as needed.
Key Requirements/Qualifications:
• 10 or more years of experience in a data intensive position.
• 5 or more years of architecting solutions in a DevOps first culture.
• Strong working knowledge with cloud storage and compute technologies such as Azure SQL Managed Instance, Cosmos DB, Azure SQL, Azure Synapse, Databricks, Snowflake, Fabric, Data Factory, Azure AI Services, Open AI, or related technologies.
• Strong working knowledge with the DevOps skillset including PowerShell, Terraform, Azure DevOps, Containers, Azure Key Vault, Entra, Private Endpoints, or other related technologies.
• Strong understanding of relational database architecture concepts.
• Proficiency working with Windows platforms with concrete knowledge of system administration/internals.
• Proven analysis and problem-solving skills.
• A successful track record of delivering complex business projects on time.
• Strong communication skills (verbal and written).
• Knowledge of Gen AI, AI/ML Ops, and mlflow is a plus."
"• 10 or more years of experience in a data intensive position.
• 5 or more years of architecting solutions in a DevOps first culture.
• Strong working knowledge with cloud storage and compute technologies such as Azure SQL Managed Instance, Cosmos DB, Azure SQL, Azure Synapse, Databricks, Snowflake, Fabric, Data Factory, Azure AI Services, Open AI, or related technologies.
• Strong working knowledge with the DevOps skillset including PowerShell, Terraform, Azure DevOps, Containers, Azure Key Vault, Entra, Private Endpoints, or other related technologies.
• Strong understanding of relational database architecture concepts.
• Proficiency working with Windows platforms with concrete knowledge of system administration/internals.
• Knowledge of Gen AI, AI/ML Ops, and mlflow is a plus."