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Elt Developer Jobs in Chicago, IL (NOW HIRING)

Lead development of efficient ELT pipelines using dbt Cloud, Python, and Airflow * Develop dbt ... Strong knowledge of CI/CD, infrastructure as code (Terraform), and DevOps principles * Ability to ...

Senior Data Quality Engineer

Chicago, IL · On-site

$118K - $141K/yr

... ELT/ETL workflows Databricks & Pipeline IntegrationIntegrate data quality controls directly into ... data integration CI/CD and DevOps Data modeling and lineage concepts Professional ...

New

Senior Data Engineer

Chicago, IL · On-site

$130K - $160K/yr

Lead development of efficient ELT pipelines using dbt Cloud, Python, and Airflow * Develop dbt ... Strong knowledge of CI/CD, infrastructure as code (Terraform), and DevOps principles * Ability to ...

Senior Knowledge Graph Developer

Chicago, IL · On-site

$56.25 - $74.25/hr

Ontology Engineering: Define and maintain formal ontologies, taxonomies, and semantic models that ... Lead the development of robust ETL/ELT pipelines to ingest, transform, and map heterogeneous data ...

AI Data Analytics Engineer

Lisle, IL · On-site

$112K - $135K/yr

Build reliable ETL/ELT pipelines and data ingestion systems for heterogeneous enterprise sources ... developer tooling. * Experience with database migration tooling and schema versioning (Flyway ...

New

Senior BI Engineer

Chicago, IL · On-site

$57 - $73.50/hr

Architect and enhance ETL/ELT pipelines using Astronomer Airflow and other modern orchestration tools * Lead projects from scoping and design through delivery and ongoing support * Build, optimize ...

Data Engineer Intern

Chicago, IL · Hybrid

$20 - $25/hr

Internship Summary As a Data Engineering Intern , you'll gain hands-on experience supporting the ... Gain hands-on experience with ELT data pipelines and best practices. * Learn how to work with data ...

New

Data Engineer Intern

Chicago, IL · On-site

$20 - $25/hr

Internship Summary As a Data Engineering Intern , you'll gain hands-on experience supporting the ... Gain hands-on experience with ELT data pipelines and best practices. * Learn how to work with data ...

New

Senior Data Engineer

Chicago, IL · On-site

$130K - $160K/yr

Lead development of efficient ELT pipelines using dbt Cloud, Python, and Airflow * Develop dbt ... Strong knowledge of CI/CD, infrastructure as code (Terraform), and DevOps principles * Ability to ...

Data & Analytics Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data & Analytics Engineer is Collectiv's most versatile technical consultant ... Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best ...

Senior Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

Experience with Fivetran (or similar ELT/ingestion tooling) and workflow orchestrations such as ... Demonstrated ability to mentor engineers, lead design/code reviews, and set technical standards.

Data & Analytics Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data & Analytics Engineer is Collectiv's most versatile technical consultant ... Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Designing, developing, and maintaining scalable, fault-tolerant ETL/ELT pipelines across structured ... Experience owning major components of a greenfield data platform or internal developer platform

Showing results 41-60

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.

Intern Data Engineer 2027 - AI & Data Analytics

Chicago, IL • On-site

IBM
IT Services • 10K+ employees

Full-time, Internship

Posted 26 days ago


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz


Job description

Introduction
Launch your career like an IBMer
Every IBMer has a story. For many, it started with an internship.
As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like an IBMer. From day one, you'll contribute to real client projects across diverse industries, including analytics, cloud data platforms, AI adoption, generative AI, and agentic AI-enabled data transformation, working alongside experienced IBMers who are invested in your success. You'll be challenged, supported, and inspired, often all in the same day. You'll develop technical expertise and consulting skills in a culture built on continuous learning, mentorship, and coaching. High-performing interns have a clear pathway into IBM's Associate Program, launching careers at one of the world's most innovative technology and consulting companies.
To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You'll receive a status update email for each application, so be sure to check your IBM Careers account regularly - it's the best way to get a centralized view of which roles you have active applications against.
Your role and responsibilities
During your internship, you can build data engineering skills by contributing to client projects that use modern data platforms, cloud services, analytics, machine learning, GenAI, and agentic AI solution patterns. This role provides an opportunity to build a compelling portfolio, acquire new skills, gain insight into diverse industries, and contribute to client-ready data pipelines, data products, APIs, retrieval assets, and governed AI-ready data with guidance from IBM teams.
At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As an intern, you'll strengthen technical, analytical, and consulting skills while learning data quality, observability, governance, and responsible AI practices, and you could advance to our full-time Associates program based on results and performance.
Work experiences you could be exposed to:
  • Mentored Data Engineering Support: Receive mentorship from data engineers, architects, AI engineers, consultants, and technical mentors while applying analytical rigor, data modeling, data quality, and responsible AI practices to client challenges.
  • Data Pipeline and Platform Development: Develop skills in writing efficient, reusable code to ingest, transform, validate, model, and serve structured, semi-structured, and unstructured data for analytics, RAG, and agentic AI solution components.
  • Effective Communication: Assisting explaining data flows, data quality, lineage, pipeline health, assumptions, limitations, and recommendations to both technical and non-technical audiences.
  • Tech-Driven Data Builder: Use tools such as Python, SQL, cloud platforms, ETL/ELT tools, APIs, data platforms, and AI-assisted coding tools to turn raw data sources into reliable analytical and AI-ready assets.

The primary internship program dates are May to July 2027 (10 weeks).
Required education
High School Diploma/GED
Preferred education
Bachelor's Degree
Required technical and professional expertise
  • Currently pursuing a quantitative or technical degree in Computer Science, Data Science, MIS, Business Analytics, Systems Engineering, Industrial Engineering, Mathematics, Engineering, AI/ML, or a related field.
  • Strong interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment.
  • Have initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints.
  • Demonstrate leadership experience and ability to communicate effectively through active listening; while also be willing to adapt and have a readiness to take ownership of tasks and challenges.
  • Familiarity with programming or query languages such as Python, SQL, Java, Scala, JavaScript, or similar, and interest in data engineering concepts such as pipelines, databases, APIs, ETL/ELT, data modeling, or data quality.
  • Willingness to travel as needed.

Preferred technical and professional experience
  • Exposure to ETL/ELT projects, data warehouse or lake house design, data engineering capstones, data quality checks, lineage, cataloging, or data governance is a plus.
  • Exposure to data engineering technologies such as Spark, Kafka, Airflow, dbt, Databricks, Snowflake, Delta Lake, Linux, APIs, or similar tools is a plus.
  • Exposure to LLMs, embeddings, vector databases, retrieval systems, RAG, prompt design, MCP-based tooling, or agentic AI frameworks such asLangChain,LangGraph, or similar, and AI-assisted Coding tools such as GitHub Copilot, Codex, Claude Code, Cursor, or similar tools for coding, testing, debugging, documentation, and code review is a plus.

ABOUT BUSINESS UNIT
IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role.
We consider qualified applicants with criminal histories, consistent with applicable law.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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