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Internship Azure Data Engineer Jobs in Naperville, IL

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Lead Data Engineer Firm Overview Hinshaw & Culbertson LLP is a national law firm with more than 500 ... Lead the implementation and operation of Microsoft Azure-based data services, including Azure Data ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Summary: We are seeking an experienced Data Engineer with expertise in the Microsoft Business ... Knowledge of Azure data services (e.g., Azure SQL, Azure Analysis Services, Fabric) is a plus.

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Summary: We are seeking an experienced Data Engineer with expertise in the Microsoft Business ... Knowledge of Azure data services (e.g., Azure SQL, Azure Analysis Services, Fabric) is a plus.

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Summary: We are seeking an experienced Data Engineer with expertise in the Microsoft Business ... Knowledge of Azure data services (e.g., Azure SQL, Azure Analysis Services, Fabric) is a plus.

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

dbt / Data Engineer Direct Client Location: Des Plaines, IL -- Hybrid, ~50% onsite Engagement ... ADF (Azure Data Factory), Python, Git Data Modeling: Star schema, dimensional modeling, Data Vault ...

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

dbt / Data Engineer Direct Client Location: Des Plaines, IL -- Hybrid, ~50% onsite Engagement ... ADF (Azure Data Factory), Python, Git Data Modeling: Star schema, dimensional modeling, Data Vault ...

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Client

Chicago, IL · On-site

$56.75 - $70.25/hr

Job Title Azure Databricks Data Engineer Estimated Start Date 3/10/2025 Location Chicago, IL~Dallas,TX Duration(Months) 6 Months Remote Possibility Onsite Overall 6+ years of experience as developer ...

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Job Title: Senior Data Engineer Location: Chicago, IL or Minneapolis, Minn. 3-4 days per week ... Strong exposure to cloud-based solution design and implementation, particularly within the Azure ...

Data Engineer (Azure)

Chicago, IL · Remote

$117K - $140K/yr

About the Role We're seeking a highly skilled and motivated hands-on Data Engineer to design, build, and maintain our Microsoft Fabric Lakehouse as we migrate our Azure-Synapse enterprise data ...

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

The Data Engineer ensures that clean, reliable, and well-structured data is readily available to ... Develop and maintain efficient ETL/ELT processes using tools like Azure Data Factory, SSIS, or ...

Data Support Engineer

Chicago, IL

$118K - $141K/yr

Experience with Azure Data Lake Storage (ADLS Gen2) or similar data lake technologies. Version Control & CI/CD: Experience with Git/Azure DevOps for code management. Problem-Solving: Strong ...

Data Support Engineer

Chicago, IL

$118K - $141K/yr

Experience with Azure Data Lake Storage (ADLS Gen2) or similar data lake technologies. Version Control & CI/CD: Experience with Git/Azure DevOps for code management. Problem-Solving: Strong ...

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

The Data Engineer ensures that clean, reliable, and well-structured data is readily available to ... Develop and maintain efficient ETL/ELT processes using tools like Azure Data Factory, SSIS, or ...

Showing results 21-40

Internship Azure Data Engineer information

See Naperville, IL salary details

$13

$25

$38

How much do internship azure data engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship azure data engineer in Naperville, IL is $25.38, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $28.80 per hour, depending on experience, location, and employer.

What does an internship Azure Data Engineer do?

An Internship Azure Data Engineer assists in designing, building, and maintaining data solutions using Microsoft Azure technologies. Responsibilities typically include working with data pipelines, cloud databases, and tools such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Interns often help with data integration, transformation, and storage tasks, as well as collaborating with senior engineers and stakeholders to support data-driven projects. This role provides valuable exposure to cloud computing, big data, and the practical application of data engineering concepts.

What kinds of projects and technologies can I expect to work with during an internship Azure Data Engineer?

As an Azure Data Engineer intern, you'll typically gain hands-on experience with cloud data solutions, such as building and managing data pipelines using Azure Data Factory, integrating data sources with Azure Databricks or Synapse Analytics, and working with Azure SQL databases. Interns often participate in real-world projects like data migration, data cleansing, and developing dashboards for business insights. You will likely collaborate closely with data scientists, software developers, and business analysts, learning best practices for data security, scalability, and performance in a cloud environment.

What are the key skills and qualifications needed to thrive as an internship Azure Data Engineer, and why are they important?

To thrive as an Internship Azure Data Engineer, you need a solid understanding of data management concepts, SQL, and a background in computer science or a related field. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI is typically required, along with a willingness to pursue certifications like Microsoft Certified: Azure Data Engineer Associate. Strong analytical thinking, problem-solving skills, and effective teamwork set candidates apart in this role. These skills are essential to efficiently design, implement, and maintain data solutions that support business intelligence and decision-making in cloud environments.

What is the difference between Internship Azure Data Engineer vs Data Analyst Intern?

AspectInternship Azure Data EngineerData Analyst Intern
Required CredentialsBasic knowledge of Azure, SQL, and data engineering conceptsBasic understanding of data analysis, Excel, and SQL
Work EnvironmentCloud platforms, data pipelines, and database managementData visualization, reporting, and data interpretation
Employer & Industry UsageTech companies, cloud service providers, data-driven organizationsBusiness, marketing, finance sectors, and consulting firms

Internship Azure Data Engineer roles focus on cloud-based data pipeline development and management using Azure tools, while Data Analyst Internships emphasize data interpretation and reporting. Both roles are entry-level, often require SQL knowledge, and serve data-driven industries, but they differ in technical focus and daily tasks.

What are popular job titles related to Internship Azure Data Engineer jobs in Naperville, IL?

For Internship Azure Data Engineer jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Internship Azure Data Engineer jobs in Naperville, IL look for?

The top searched job categories for Internship Azure Data Engineer jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Internship Azure Data Engineer jobs?

Cities near Naperville, IL with the most Internship Azure Data Engineer job openings:

Infographic showing various Internship Azure Data Engineer job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $52,788 per year, or $25.4 per hour.

Lead Data Engineer

Hinshaw & Culbertson

Chicago, IL • On-site, Remote

$140K - $180K/yr

Full-time

Posted 18 days ago


Job description

Lead Data Engineer
Firm Overview

Hinshaw & Culbertson LLP is a national law firm with more than 500 attorneys and professionals across the United States. Founded in 1934 and headquartered in Chicago, the firm provides sophisticated legal counsel to clients in highly regulated industries, including insurance, financial services, healthcare, and professional services, as well as to government agencies, educational institutions, and nonprofit organizations. Learn more at hinshawlaw.com.
Job Summary
The Lead Data Engineer is a hands-on technical leader responsible for designing, building, and operating enterprise-grade data integration and analytics platforms across the firm. This role owns core data pipelines, data models, and production data operations, and establishes engineering standards that improve reliability, data quality, and delivery speed. The Lead Data Engineer partners closely with IT, Information Security, Information Governance, Finance, Knowledge Management, Marketing/Business Development, and practice groups to reduce data silos, clarify data ownership, and deliver trustworthy data for reporting, analytics, and emerging AI initiatives.
Essential Job Functions
  • Enterprise Data Integration & Pipelines: Design, build, and maintain robust ETL/ELT pipelines that integrate data from core firm systems (finance, HR, CRM, document management, and other enterprise platforms). Ensure data is delivered accurately, securely, and on schedule.
  • Data Architecture & Modeling: Define and enforce data architecture standards, including data models, schemas, and storage patterns for cloud-based data warehouse and lakehouse platforms. Optimize for performance, scalability, and analytical use.
  • Cloud Data Platform Management: Lead the implementation and operation of Microsoft Azure-based data services, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics. Manage development, test, and production environments with focus on cost efficiency and reliability.
  • Own the firm's enterprise data warehouse and lakehouse platforms, including data models, ingestion pipelines, performance, reliability, and ongoing operational health."
  • DevOps / DataOps Practices: Implement source control, branching strategies, CI/CD pipelines, automated testing, deployment workflows, monitoring, and alerting for data pipelines and related code.
  • Production Data Operations: Oversee scheduling, execution, reconciliation, and monitoring of production data workflows. Proactively identify and resolve failures, data quality issues, and performance bottlenecks before they impact reporting or operations.
  • Data Governance & Quality: Partner with Information Governance and Security teams to implement data quality standards, lineage documentation, reconciliation processes, and stewardship models. Help define and enforce "source of truth" ownership for critical datasets.
  • Cross-Functional Collaboration: Work with business stakeholders to translate requirements into technical solutions and communicate complex data concepts in clear, non-technical terms. Ensure solutions align with firm strategy and operational priorities.
  • Security & Compliance: Ensure data integration and storage solutions comply with firm security policies, client confidentiality requirements, and applicable regulatory obligations. Implement access controls, encryption, and auditing where appropriate.
  • Innovation & Continuous Improvement: Evaluate emerging data, analytics, and AI capabilities and lead proof-of-concepts that improve reliability, usability, and business value.
  • Technical Leadership & Mentorship: Provide design guidance, code reviews, and technical coaching to junior engineers or database professionals as applicable. Establish repeatable patterns and standards.
  • Project & Vendor Management: Lead data-focused projects from initiation through delivery, coordinating internal teams and external vendors/consultants. Ensure knowledge transfer and long-term sustainability.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
  • 8+ years of hands-on experience in data engineering, ETL/ELT development, and data integration.
  • 3+ years of experience designing and operating cloud-based data platforms (Microsoft Azure preferred).
  • Strong MS SQL skills and experience with relational database design, development, and performance tuning (SQL Server preferred).
  • Experience building reliable production data pipelines, including monitoring, alerting, and reconciliation.
  • Experience with source control and deployment practices for data workflows (e.g., Git and CI/CD pipelines).
  • Excellent written and verbal communication skills, including ability to explain technical concepts to non-technical audiences.
  • Ability to handle sensitive and confidential information with discretion and professionalism.
  • Availability for occasional after-hours work for major releases or production incidents.

Preferred Skills
  • Advanced experience with Azure data services (ADLS, Databricks, Azure Data Factory, Synapse).
  • Experience implementing enterprise data warehouses, data marts, and lakehouse architectures.
  • Experience with data integration tools such as Azure Data Factory, Talend, Boomi, or similar platforms.
  • Strong scripting and programming skills (Python, PowerShell, and/or .NET/C#) for data processing and custom integrations.
  • Familiarity with business intelligence and analytics tools such as Power BI or Tableau.
  • Experience with data governance frameworks, data quality controls, data cataloging, and lineage documentation.
  • Experience in a law firm or professional services environment is a plus, including familiarity with systems such as Elite 3E, Aderant, iManage, NetDocuments, Intapp/InterAction, or similar platforms.
  • Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) are a plus.

Why Join Hinshaw?
At Hinshaw, we foster a collaborative and inclusive work culture. We offer competitive compensation, a comprehensive benefits program, and opportunities to work on enterprise-scale technology initiatives that directly support the firm's strategic objectives. The Lead Data Engineer will play a critical role in shaping the firm's data foundation and enabling analytics, reporting, and innovation across the organization.
Equal Opportunity Statement
Hinshaw & Culbertson LLP is an Equal Opportunity Employer. The firm is committed to providing equal employment opportunities and reasonable accommodations to qualified individuals with disabilities.