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Trainee Azure Data Factory Developer Jobs in Lisle, IL

ETL Developer

Hinsdale, IL · On-site

$51.25 - $67/hr

Data Engineering & Pipeline Development ... Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry ...

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

... Data Engineering, Data Factory, OneLake, and semantic model concepts. * Experience designing modern lakehouse, warehouse, and data integration architectures using Microsoft Fabric, Azure Data ...

Data Architect

Chicago, IL · On-site

$110 - $181/hr

... Data Engineering, Data Factory, OneLake, and semantic model concepts. * Experience designing modern lakehouse, warehouse, and data integration architectures using Microsoft Fabric, Azure Data ...

Skills .net, C#, Azure, data factory, Data Lake, Development, architecture, .net core, Full stack ... Knowledge of CI/CD practices and DevOps methodologies. Strong leadership and communication skills.

Data Engineer Lead

Lisle, IL · On-site

$112K - $135K/yr

As a Data Engineer Lead, you will ensure data accuracy and reliability, manage data extraction and ... Azure Data Factory or AWS Glue. • Experience with data migration platforms like Syniti or data ...

Skills .net, C#, Azure, data factory, Data Lake, Development, architecture, .net core, Full stack ... Knowledge of CI/CD practices and DevOps methodologies. Strong leadership and communication skills.

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 ...

SAP Syniti Engineer - Syniti Location: Lisle, IL Duration: Long-Term Experience: 6+ Years Required ... Azure Data Factory (ADF) * Azure Synapse * Azure Data Lake Storage (ADLS) * Informatica / Talend ...

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 ...

IT Data Engineer III

Lombard, IL

$112K - $135K/yr

Develop and maintain efficient ETL/ELT processes using tools like Azure Data Factory, SSIS, or ... Source control (e.g., Azure DevOps, Git) for versioning and change management. * Cloud platform ...

IT Data Engineer III

Lombard, IL · On-site

$112K - $135K/yr

Develop and maintain efficient ETL/ELT processes using tools like Azure Data Factory, SSIS, or ... Source control (e.g., Azure DevOps, Git) for versioning and change management. * Cloud platform ...

Data Engineer III

Chicago, IL · On-site

$120 - $150/hr

Experience with Azure Data Factory and Microsoft Fabric. * Demonstrated technical leadership and a history of helping engineering teams successfully deliver complex initiatives. * Strong ...

Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. * Integrate ...

Showing results 21-40

Trainee Azure Data Factory Developer information

See Lisle, IL salary details

$10

$57

$78

How much do trainee azure data factory developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for trainee azure data factory developer in Lisle, IL is $57.59, according to ZipRecruiter salary data. Most workers in this role earn between $52.16 and $64.71 per hour, depending on experience, location, and employer.

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ETL Developer

Trova Search

Hinsdale, IL • On-site

$51.25 - $67/hr

Other

Re-posted 26 days ago


Job description

MUST CURRENTLY RESIDE IN IL.

NO 3RD PARTY OR C2C. 

The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data platforms. This role focuses on building scalable, efficient, and secure data solutions using modern cloud technologies. The engineer collaborates with analytics, BI, and business teams to transform requirements into reliable data assets that support reporting, analytics, and operational needs.

Data Engineering & Pipeline Development

  • Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and Microsoft Fabric.
  • Build and optimize data ingestion, transformation, and integration processes across structured and unstructured data sources.
  • Develop and support data lakes, Lakehouse’s, and data warehouse environments using MSSQL and cloud-native platforms.
  • Implement ETL/ELT best practices to ensure performance, reliability, and data quality.
  • Automate data workflows and monitor pipeline health; identify and resolve issues promptly.

Collaboration & Solution Delivery

  • Work closely with analytics, BI, and business teams to understand data requirements and translate them into technical solutions.
  • Partner with cross-functional teams to support data-driven initiatives and ensure pipelines align with reporting and operational needs.
  • Contribute to documentation of data structures, transformation logic, and system dependencies.

Technology Enablement & Best Practices

  • Contribute to evaluating and adopting new tools, frameworks, and technologies that enhance data engineering efficiency and scalability.
  • Follow standards for code quality, testing, version control, and documentation.
  • Apply data governance, quality, and reliability principles in daily engineering work.

Business Intelligence & Analytics Support

  • Build reusable data models and curated datasets to enable self-service analytics.
  • Ensure downstream BI teams receive accurate, well-structured, and timely data.
  • Transform business requirements into scalable and maintainable technical designs.

Compliance & Security

  • Ensure data engineering solutions align with privacy regulations such as GDPR and HIPAA, as well as internal security requirements. · Maintain proper data access controls and contribute to monitoring data quality and compliance metrics.

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
  • 5–7 years of experience in data engineering, ETL/ELT development, or cloud data platforms.
  • Hands-on experience with Azure Data Factory, Databricks, Microsoft Fabric, and MSSQL.
  • Strong knowledge of data lake, lakehouse, and data warehouse architectures.
  • Solid understanding of ETL/ELT processes, data modeling, and metadata management.
  • Proficiency in SQL and Python; familiarity with cloud platforms and big data technologies.
  • Ability to diagnose data issues, optimize performance, and work with cross-functional technical and business teams.

Preferred Certifications

  • Microsoft Certified: Azure Data Engineer Associate
  • Databricks Certified Data Engineer
  • Certifications related to data governance, risk, or compliance
  • Master’s degree in Computer Science, Information Systems, or related fields