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Full Time Azure Data Factory Developer Jobs in Illinois

Scadea

Azure Data Engineer

Chicago, IL

$118K - $141K/yr

Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF). · Big Data ... Deploy, monitor, and automate workflows using Azure DevOps and automated alert configurations.

MSR Technology Group

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/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 ...

Paul Hastings

Senior Data Engineer

Chicago, IL

$194K/yr

... 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 ...

247Hire

Data Support Engineer

Chicago, IL · On-site

$118K - $141K/yr

Experience with Git/Azure DevOps for code management. Problem-Solving: Strong analytical skills ... Nice-to-Have Skills Data orchestration tools (e.g., Apache Airflow, Azure Data Factory). Data ...

Dlapiper

Data Engineer

Chicago, IL

$118K - $141K/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 ...

Medline

Sr. Azure Data Engineer

Northbrook, IL · On-site

$101K - $152K/yr

Additionally, knowledge and experienceinSAPandholding Azure certifications, are considered a plus ... Responsible forbuilding and maintainingsolutions using MicrosoftFabriccomponents (Data Factory ...

STAFFWORXS

Enterprise Azure Architect

Chicago, IL · On-site

$65.50 - $85.25/hr

... DevOps, security, and business teams across global locations. • Support proposal development ... Azure Data Factory, Azure Kubernetes Service (AKS). • Proven experience leading large-scale ...

Tata Consultancy Services

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

They are seeking a Senior Data Engineer to design and build end-to-end data pipelines and optimize ... Azure Data Factory (pipelines, triggers, monitoring) • Databricks (Delta Lake, workflows ...

Collectiv

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

... Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses) * Build and optimize data ... Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer), Fabric (DP ...

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All JobsAzure Data Factory Developer JobsFull Time Azure Data Factory Developer JobsFull Time Azure Data Factory Developer Jobs in Illinois

Full Time Azure Data Factory Developer information

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 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 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:
Full Time Azure Data Factory Developer jobs near you

Azure Data Engineer

Scadea

Chicago, IL

$118K - $141K/yr

Full-time

Posted 18 days ago

Job description

Client is looking for a strong Azure Data Engineer to join their project.
Job Title: Azure Data Engineer
Location: Chicago, IL - must do one day week onsite
Length: 6 months
This will require an onsite interview or require the candidate to pick up their laptop in person
Requirements/Top Skills Needed:
ADF
Databricks
Python
SQL
Retail experience would be helpful, but not required
Job Title: Azure Data Engineer
Job Summary:  We are seeking a highly skilled Azure Data Engineer to design, build, and optimize our next-generation cloud data platform. You will build scalable data pipelines, manage enterprise data warehouses, and transform massive datasets using Azure Cloud, ADF, Databricks, Spark, and PySpark.
Key Responsibilities
· Pipeline Orchestration: Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF).
· Big Data Processing: Build high-performance, distributed data transformation workloads via Azure Databricks and Apache Spark/PySpark.
· Data Warehousing: Architect, model, and maintain cloud-native Data Warehouses and Data Lakes (ADLS Gen2).
· Architecture Implementation: Apply modern architectural patterns like the Medallion Architecture (Bronze, Silver, Gold layers) and Delta Lake formats.
· Performance Tuning: Optimize Spark jobs, cluster configurations, and SQL queries to minimize latency and cloud compute costs.
· Governance & Security: Implement security frameworks, data lineage, and user access policies using Unity Catalog.
· CI/CD Automation: Deploy, monitor, and automate workflows using Azure DevOps and automated alert configurations.
Required Technical Skills:
· Cloud Platform: Microsoft Azure Ecosystem (ADLS Gen2, Azure SQL, Synapse Analytics, Key Vault, Storages, Azure Functions, Logic Apps).
· Data Orchestration: Advanced proficiency in Azure Data Factory (ADF).
· Compute & Analytics: Deep hands-on experience with Azure Databricks.
· Big Data Frameworks: Strong mastery of Apache Spark and PySpark (including Spark SQL).
· Languages: Expert level in Python and SQL.
· Data Warehousing: Solid understanding of Data Modeling (Star/Snowflake schema) and warehousing concepts