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Elt Developer Jobs in Chicago, IL (NOW HIRING)

ETL Developer

Hinsdale, IL ยท On-site

$51.25 - $67/hr

The Data Engineer is responsible for designing, developing, and optimizing enterprise data ... Implement ETL/ELT best practices to ensure performance, reliability, and data quality. * Automate ...

Pipeline Development & ETL/ELT Engineering โ€ข Design, develop, and maintain scalable ETL and ELT pipelines across batch, incremental, CDC, and file-based ingestion patterns. โ€ข Build and enhance ...

Pipeline Development & ETL/ELT Engineering Design, develop, and maintain scalable ETL and ELT pipelines across batch, incremental, CDC, and file-based ingestion patterns. Build and enhance pipelines ...

GCP Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Drive adoption of ELT best practices using BigQuery as the compute engine. Collaboration ... DevOps. * Implement secure data access controls using IAM roles, policies, and governance ...

Data engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Looking for 2 to 4 years of professional experience as a Data engineer Chicago, IL. Skills required ... Hands-on experience with Snowflake writing SQL queries. * ETL/ELT for Snowflake: Experience with ...

Data Engineer

Oak Brook, IL ยท On-site

$143K/yr

The engineer collaborates with analytics, BI, and business teams to transform requirements into ... Implement ETL/ELT best practices to ensure performance, reliability, and data quality. * Automate ...

Data Engineer

Villa Park, IL ยท On-site

$107K - $143K/yr

The engineer collaborates with analytics, BI, and business teams to transform requirements into ... ELT best practices to ensure performance, reliability, and data quality. โ€ข Automate data ...

Data Engineer

Villa Park, IL ยท On-site

$107K - $143K/yr

The Data Engineer is responsible for designing, developing, and optimizing enterprise data ... L/ELT best practices to ensure performance, reliability, and data quality. ยท Automate data ...

ETL Developer

Rosemont, IL ยท On-site

$49.75 - $65/hr

Job Title: ETL Developer Location : Rosemont, IL Duration : 6 Months Experience : 6-8 Years Job ID ... Design, develop, and maintain batch ETL/ELT processes using SQL Server and SSIS. * Build and manage ...

NextRow is looking to hire a Senior Informatica Developer / Engineer on a contract basis ... Experience in industry standard ETL/ELT tools Hands on experience with AWS cloud architecture and ...

Knowledge of HADOOP Framework and programming in Hive and Pig tools, Design, Best Practices and ... Experience with design and implementation of ETL/ELT framework for complex warehouses/marts * Hands ...

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Elt Developer information

See Chicago, IL salary details

$17

$54

$84

How much do elt developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for elt developer in Chicago, IL is $54.43, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $66.63 per hour, depending on experience, location, and employer.

What is an ELT developer?

ELT Developers are professionals who specialize in designing, building, and maintaining data pipelines using the Extract, Load, Transform (ELT) process. They extract data from various sources, load it into a data warehouse or data lake, and then transform it within the storage system to support analytics and business intelligence. ELT Developers work with tools and platforms such as SQL, cloud data warehouses (like Snowflake or BigQuery), and ETL/ELT frameworks to ensure data is accurate, accessible, and well-structured for analysis.

How do ELT developers typically collaborate with data analysts and engineers on projects?

ELT Developers often work closely with data analysts to understand data requirements and ensure the transformed data meets analytical needs. They also partner with data engineers to design and optimize pipelines for efficient data extraction, loading, and transformation. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration. Clear communication and teamwork are essential, as ELT Developers serve as a bridge between raw data sources and actionable business insights.

What are the key skills and qualifications needed to thrive as an ELT developer, and why are they important?

To thrive as an ELT Developer, you need strong proficiency in database management, data warehousing concepts, and programming languages such as SQL and Python, often supported by a degree in computer science or a related field. Familiarity with ETL/ELT tools like Informatica, Talend, Apache NiFi, or cloud-based platforms such as AWS Glue and Azure Data Factory is typically required. Analytical thinking, problem-solving skills, and effective communication help you understand complex data requirements and collaborate with cross-functional teams. These skills and qualities are critical to ensure efficient, accurate data integration and transformation processes that support business intelligence and decision-making.

What is the difference between Elt Developer vs Data Engineer?

AspectElt DeveloperData Engineer
Required CredentialsBachelor's in CS or related field, knowledge of XML, XSLT, scriptingBachelor's in CS, experience with databases, programming, ETL tools
Work EnvironmentContent management, language localization, data transformation projectsData pipeline development, large-scale data processing, infrastructure setup
Employer & Industry UsageTech companies, localization firms, e-learning providersFinance, healthcare, tech firms managing big data

While both roles involve working with data, Elt Developers focus on language data transformation and localization tasks, whereas Data Engineers build and maintain data pipelines for large-scale data processing. The roles share some technical skills but differ in scope and industry focus.

ETL Developer

Hinsdale, IL โ€ข On-site

$51.25 - $67/hr

Other

Re-posted yesterday


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, Lakehouseโ€™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. ยท Maintain proper data access controls and contribute to monitoring data quality and compliance metrics.

Required Qualifications

  • Bachelorโ€™s degree in Computer Science, Information Systems, Data Engineering, or a related field.
  • 5โ€“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
  • Masterโ€™s degree in Computer Science, Information Systems, or related fields