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Internship Azure Data Factory Developer Jobs in Illinois

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site

$113K - $136K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Staffingine LLC

Lead Azure ADF Developer

Rolling Meadows, IL · On-site

$55.25 - $68.75/hr

Job Title: Lead Azure ADF Developer Job Location: Rolling Meadows, IL Job type: Contract * Must ... Experience in Azure stack Azure Data Factory Azure functions Azure SQL * Strong working knowledge ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site

$113K - $136K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Prophecy Technologies

Azure Data Analyst

Chicago, IL · On-site

Data Engineering & DevelopmentDesign and develop end-to-end data ingestion| transformation| and ... Develop data solutions using Azure Data Factory (ADF)| Azure Databricks| and Snowflake.Create and ...

Brillius

Client

Chicago, IL · On-site

$56.75 - $70.25/hr

... Azure Data factory, T-SQL, Pyspark and Azure Data Lake Storage (ADLS), and Azure DevOps. Data ingestion to one or more Azure services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and ...

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All JobsAzure Data Factory Developer JobsInternship Azure Data Factory Developer JobsInternship Azure Data Factory Developer Jobs in Illinois

Internship Azure Data Factory Developer information

What does an Internship Azure Data Factory Developer do?

An Internship Azure Data Factory Developer assists in designing, building, and managing data pipelines using Microsoft Azure Data Factory. They work with data engineers and analysts to automate data flows, integrate data from various sources, and ensure data is efficiently processed for analytics and reporting. Interns often gain hands-on experience with cloud technologies, data transformation, and learn best practices in data management on the Azure platform.

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

To thrive as an Internship Azure Data Factory Developer, you need foundational knowledge in data engineering, SQL, and cloud computing concepts, often supported by coursework in computer science or related fields. Familiarity with Microsoft Azure services, especially Azure Data Factory, and experience with tools like Power BI or Azure SQL Database are typically expected. Strong analytical thinking, attention to detail, and effective communication help interns collaborate and solve data integration challenges. These skills and qualities are crucial for efficiently building data pipelines, ensuring data quality, and supporting business intelligence initiatives.

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

AspectInternship Azure Data Factory DeveloperData Engineer
Required CredentialsBasic understanding of Azure, data integration, and some certifications like Azure FundamentalsAdvanced degrees or certifications in data engineering, cloud platforms, or related fields
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, managing complex data pipelines and systems
Employer & Industry UsageUsed in tech companies, consulting firms, and organizations adopting Azure cloudCommon across industries requiring large-scale data processing and analytics

The Internship Azure Data Factory Developer role is an entry-level position focused on learning and supporting data integration tasks using Azure Data Factory. In contrast, a Data Engineer is a full-time professional responsible for designing, building, and maintaining scalable data pipelines and systems. While the internship provides foundational experience, the Data Engineer role requires more advanced skills, experience, and certifications.

What types of projects or tasks can an Internship Azure Data Factory Developer expect to work on during their internship?

As an Azure Data Factory Developer intern, you can expect to assist with building and maintaining data pipelines, integrating data from various sources, and automating data workflows. Typical tasks include developing data transformation logic, configuring linked services, and monitoring pipeline performance. Interns often collaborate closely with data engineers, analysts, and business intelligence teams, gaining hands-on experience with real-world datasets and cloud-based data solutions. This role provides valuable exposure to industry-standard tools, and strong performance may open up opportunities for full-time positions or advanced technical roles.
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:
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What cities in Illinois are hiring for Internship Azure Data Factory Developer jobs? Cities in Illinois with the most Internship Azure Data Factory Developer job openings:
Internship Azure Data Factory Developer jobs near you
Infographic showing various Internship Azure Data Factory Developer job openings in Illinois as of July 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution.

Senior Azure Data Engineer

DATAMAXIS

Springfield, IL • On-site

$113K - $136K/yr

Contractor

Re-posted 16 days ago

Job description

Job Summary: We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and data products that power analytics, regulatory reporting, operational dashboards, and emerging AI/ML use cases. You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, secure, and costefficient data solutions.

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration programs (e.g., Informatica-to-ADF, on-prem warehouse-to-cloud), mentoring mid-level engineers, and shaping engineering standards across the team.

Key Responsibilities:

Pipeline Design & Development

  • Design and build robust, reusable, parameter-driven ingestion and transformation pipeline using Azure Data Factory, Synapse Pipelines, Data Bricks and/or Microsoft Fabric Data Factory.
  • Implement medallion architecture (Bronze / Silver / Gold) on Azure Data Lake Storage Gen2 using Delta Lake, Parquet, and structured streaming patterns.
  • Build performant ELT workflows that leverage pushdown to source systems (Synapse Dedicated SQL Pool, Azure SQL, Teradata) where appropriate.
  • Develop and optimize PySpark notebooks and jobs on Azure Databricks or Synapse Spark.

Data Modeling & Warehousing

  • Design dimensional models (Kimball star/snowflake) and data vault patterns for analytics consumption.
  • Implement Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving data patterns.
  • Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including distribution keys, partitioning, and clustered column store indexes.

Platform Engineering & DevOps

  • Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments.
  • Instrument pipelines with robust logging, auditing, and monitoring using Azure Monitor, Log Analytics, and KQL.
  • Define and enforce coding standards, code review practices, branching strategies, and release management.

Migration & Modernization

  • Lead or contribute to legacy-to-cloud migrations — e.g., Informatica PowerCenter to Azure Data Factory, on-premises Teradata / Oracle / SQL Server to Synapse or Fabric.
  • Perform workload assessment, capacity planning, and cost modeling for target-state architectures.
  • Production incident response for critical pipelines.

Required Qualifications:

  • Deep hands-on expertise with Azure Data Factory: pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and all three Integration Runtime types (Azure, Self hosted, SSIS).
  • Strong Experience in Data Bricks and PySpark.
  • Production experience with one or more of: Azure Synapse Analytics (Dedicated and Serverless SQL Pools, Spark Pools) OR Azure Databricks (Delta Lake, Unity Catalog) OR Microsoft Fabric (Warehouse, Lakehouse, OneLake).
  • Strong working knowledge of Azure Data Lake Storage Gen2 (hierarchical namespace, RBAC + ACLs, lifecycle management, security).
  • Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and service principals), and private networking (VNet integration, private endpoints).
  • Monitoring and troubleshooting with Azure Monitor, Log Analytics, and KQL.
  • Advanced SQL — window functions, CTEs, query optimization, execution plan analysis, performance tuning.
  • Strong Python for data engineering — pandas, PySpark, REST API integration, unit testing (pytest).
  • Proficient in T-SQL; familiarity with Spark SQL, KQL, PowerShell, and Bash shell scripting.

Preferred Qualifications:

  • 5+ years of data warehouse development experience.
  • 5+ years of data modeling experience using ERWIN or similar tools.
  • 2+ years of experience with Azure Data Factory and Snowflake.
  • Medicaid Domain Knowledge is a plus.
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About DATAMAXIS

Sourced by ZipRecruiter

Datamaxis is passionate about making our clients win. As a trusted partner, we will bring innovative solutions, technical expertise in Data, cyber security analytics, strategic staffing and AI/ML to help create value (ROI) for our clients, stay competitive and operationally efficient.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Reston, VA, US

Year founded

2003

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