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Data Transformation Jobs in Chicago, IL (NOW HIRING)

Prophecy Technologies

Azure / Fabric Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... transformation processes, including data cleansing, normalization, aggregation, and enrichment, to prepare data for analytics and reporting. • Identifying and resolving performance bottlenecks in ...

Apex Informatics

Data Analyst

Chicago, IL · On-site

... data transformation and data preparation techniques • Familiarity with Data Binning and K-means Clustering and applying those techniques. • Working knowledge of core financial processes and ...

Cuesta Partners

Data Architect | US

Chicago, IL · On-site

$175K - $225K/yr

Cuesta Partners is looking for a Data Architect to engage with us on transformational data programs with companies looking to take their AI & data capabilities to the next level. Key Areas of Focus:

Harrison Street

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Developing data transformation processes, including data cleansing, normalization, aggregation, and enrichment, to prepare data for analytics and reporting. * Identifying and resolving performance ...

Harrison Street

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Developing data transformation processes, including data cleansing, normalization, aggregation, and enrichment, to prepare data for analytics and reporting. * Identifying and resolving performance ...

Harrison Street

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Developing data transformation processes, including data cleansing, normalization, aggregation, and enrichment, to prepare data for analytics and reporting. * Identifying and resolving performance ...

Deloitte

Azure/Databricks Infrastructure Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives. Recruiting for this role ends on 09/01 ...

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Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital ...

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Data Engineer

Chicago, IL

$130K - $150K/yr

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital ...

Co-Sourcing Partners

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Implement data transformation pipelines using BigQuery, dbt, and Python-based workflows. * Ensure efficient handling of large-scale structured and unstructured datasets. Data Modeling & Architecture

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Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital ...

Accenture

Finance AI Data Strategy Manager

Chicago, IL · On-site

You'll work at the cutting edge of Finance transformation - helping the world's largest organizations reimagine what's possible when AI and data are built into the core of how Finance operates. You ...

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Showing results 21-40

All JobsData Transformation JobsData Transformation Jobs in Chicago, IL

Data Transformation information

See Chicago, IL salary details

$47.4K

$170K

$250.8K

How much do data transformation jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data transformation in Chicago, IL is $169,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $175,100.00 per year, depending on experience, location, and employer.

What is a data transformation?

A Data Transformation job involves converting, structuring, and optimizing raw data to make it useful for analysis, reporting, or other business processes. Professionals in this role use ETL (Extract, Transform, Load) tools, coding languages like SQL or Python, and cloud platforms to clean, aggregate, and reformat data. They ensure data integrity, improve accessibility, and support data-driven decision-making. This role is essential in industries that rely on accurate and efficient data processing, such as finance, healthcare, and e-commerce.

What are the typical daily responsibilities of someone in a data transformation role?

In a Data Transformation role, your daily responsibilities often include analyzing raw data from multiple sources, designing and executing processes to clean and reformat data, and collaborating with business and IT teams to ensure data meets project requirements. You’ll typically work with ETL (Extract, Transform, Load) tools to automate and streamline these processes, as well as perform quality checks to validate data accuracy. Coordinating with data engineers, data analysts, and stakeholders is a key part of the job to ensure projects align with business goals. Staying up-to-date with new data management technologies and best practices can also be a regular part of your routine, helping to drive ongoing improvements.

What are the key skills and qualifications needed to thrive in the data transformation position, and why are they important?

To thrive in a Data Transformation role, a strong background in data analysis, data modeling, and database management is essential, often supported by a degree in computer science, information systems, or a related field. Proficiency with data transformation tools like SQL, ETL platforms (such as Informatica or Talend), and cloud data services is typically required, and certifications in these areas can be advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities are key for collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are important because they ensure accurate, efficient data transformations that support critical business decisions.

What are the most commonly searched types of Data Transformation jobs in Chicago, IL?

The most popular types of Data Transformation jobs in Chicago, IL are:

What are popular job titles related to Data Transformation jobs in Chicago, IL?

For Data Transformation jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Transformation jobs in Chicago, IL look for?

The top searched job categories for Data Transformation jobs in Chicago, IL are:

Data Transformation jobs near you
Infographic showing various Data Transformation job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $169,993 per year, or $81.7 per hour.

Azure / Fabric Data Engineer

Prophecy Technologies

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Posted 6 days ago

Job description

Role : Data Engineer| Chicago, IL (Onsite)
JD :
Data Engineering and ETL
• Designing, building, and maintaining scalable and efficient data pipelines to extract, transform, and load (ETL) data from various sources into Enterprise Data Platform (EDP).
• Designing and implementing data marts, including dimensional modeling, schema design, and optimization techniques.
• Integrating and consolidating data from diverse sources, such as databases, sftp's, APIs, and streaming platforms, ensuring data quality, consistency, and integrity.
• Creating and maintaining data models, defining data structures, relationships, and data storage requirements, using techniques like entity-relationship diagrams and data flow diagrams.
• Developing data transformation processes, including data cleansing, normalization, aggregation, and enrichment, to prepare data for analytics and reporting.
• Identifying and resolving performance bottlenecks in data processing and storage systems, optimizing query performance, and improving overall data pipeline efficiency.
• Implementing data quality assurance processes, performing data validation, testing data pipelines, and resolving data quality issues.
• Monitoring data pipelines, diagnosing and troubleshooting issues, performing system upgrades and maintenance tasks to ensure data reliability and availability.
• Collaborating with cross-functional teams, including Business Liaisons, analysts, and software engineers, and documenting data engineering processes, workflows, and best practices.
Supports training of team members on how to properly organize findings and read data collected.
• Partners with Technology Infrastructure and Support Operations team to identify, design, and implement internal process improvements: e.g., automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
• Partners with Technology Infrastructure and Support Operations teams to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Microsoft Fabric.
• Understands how data platform integrates within the overall technical architecture.

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