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Dbt Data Engineer Jobs in Chicago, IL (NOW HIRING)

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Data Engineering WHO WE ARE: We are RAPP - world leaders in activating growth with precision and ... Implement and optimize dbt models for analytics and transformations. Data Architecture & Storage

Data Engineer

Romeoville, IL · On-site

$96 - $134/hr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... dbt, Spark) is a plus Preferred Qualifications * Experience working with a modern data warehouse ...

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... dbt, Spark) is a plus Preferred Qualifications * Experience working with a modern data warehouse ...

Data Engineer III

Chicago, IL · On-site

$117K - $141K/yr

McDonald's is hiring a Data Engineer III focused on Data Clean Room data ingestion, curation, and ... Hands-on experience with data orchestration tools (e.g., Apache Airflow, dbt) and big data ...

New

Sr. Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity ... Develop dbt workflows to onboard Evaluation Partners and create end-of-day reporting for partner ...

Senior Data Engineer

Chicago, IL · On-site

$110 - $150/hr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... Hands‑on experience with Snowflake, Airflow, Fivetran, and DBT. * A high bar for data quality ...

Data Engineer III

Chicago, IL · On-site

$120 - $150/hr

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

Senior Data Engineer

Chicago, IL · On-site

$110 - $150/hr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... Hands-on experience with Snowflake, Airflow, Fivetran, and DBT. * A high bar for data quality - you ...

Senior Data Engineer

Chicago, IL · On-site

$110K - $150K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... Hands-on experience with Snowflake, Airflow, Fivetran, and DBT. * A high bar for data quality - you ...

Senior Data Engineer

Chicago, IL · On-site +1

$110K - $150K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... Hands-on experience with Snowflake, Airflow, Fivetran, and DBT. * A high bar for data quality - you ...

Data Engineer III

Chicago, IL · On-site

$120 - $150/hr

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

Senior Data Engineer

Chicago, IL · On-site +1

$110K - $150K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... Hands-on experience with Snowflake, Airflow, Fivetran, and DBT. * A high bar for data quality - you ...

Senior Data Engineer

Chicago, IL · On-site

$140 - $190/hr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ... Proven experience building and orchestrating data pipelines using dbt and Airflow * Hands-on ...

Senior Data Engineer

Chicago, IL · On-site

$150K - $187K/yr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ... Proven experience building and orchestrating data pipelines using dbt and Airflow * Hands-on ...

Senior Data Engineer

Chicago, IL · On-site

$150K - $187K/yr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ... Proven experience building and orchestrating data pipelines using dbt and Airflow * Hands-on ...

Senior Data Engineer

Chicago, IL · On-site

$150 - $187/hr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ... Proven experience building and orchestrating data pipelines using dbt and Airflow * Hands‑on ...

Showing results 21-40

Dbt Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do dbt data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for dbt data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a dbt data engineer?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

How does a dbt data engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

What are the key skills and qualifications needed to thrive as a dbt data engineer, and why are they important?

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

What is the difference between Dbt Data Engineer vs Data Analyst?

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

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

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

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

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

What cities near Chicago, IL are hiring for Dbt Data Engineer jobs?

Cities near Chicago, IL with the most Dbt Data Engineer job openings:

Infographic showing various Dbt Data Engineer 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 $133,627 per year, or $64.2 per hour.

Senior Data Engineer

Omnicom

Chicago, IL • On-site

$109K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 1 hour ago


Job description

Agency:

RAPP

Job Function:

Data and Analytics

Job Subfunction:

Data Engineering


Job Description:

WHO WE ARE:

We are RAPP - world leaders in activating growth with precision and empathy at scale. As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual's needs, beliefs, behaviors, and aspirations.

We foster an inclusive workplace that emphasizes personal well-being.

HOW WE DO IT:

At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.

Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it - ensuring we're able to activate authentic customer connections for our clients.

Part of Omnicom's Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets.

YOUR ROLE:

We are looking for a Senior Data Engineer with deep expertise in building scalable, cloud-native data pipelines and platforms. The ideal candidate is highly skilled in Python, Apache Airflow, AWS Lambda, DynamoDB, and dbt, and has experience designing reliable data workflows that enable advanced analytics, reporting, and machine learning use cases. The ideal candidate will have strong attention to detail, a passion for information management, and the ability to work collaboratively with creative teams to enhance the efficiency and scalability of our asset workflows.

YOUR RESPONSIBILITIES:

Data Pipeline Development

  • Design, build, and maintain robust ETL/ELT pipelines using Python and Airflow.
  • Develop serverless workflows leveraging AWS Lambda for scalable event-driven data processing.
  • Implement and optimize dbt models for analytics and transformations.

Data Architecture & Storage

  • Design schemas and manage data in DynamoDB and other cloud-native storage solutions.
  • Ensure high availability, scalability, and performance of data systems.
  • Integrate structured, semi-structured, and unstructured data sources.

Automation & Orchestration

  • Build workflow orchestration strategies using Airflow for scheduling and monitoring pipelines.
  • Automate infrastructure deployment and CI/CD pipelines for data services.

Quality & Governance

  • Implement data validation, testing, and monitoring frameworks.
  • Ensure compliance with security, privacy, and governance standards.

Collaboration & Leadershi

  • Partner with analytics, product, and engineering teams to deliver reliable datasets.
  • Mentor junior engineers and enforce best practices in data engineering.
  • Actively contribute to improving team efficiency, scalability, and standards.

REQUIRED SKILLS:

  • 5-8+ years of experience in data engineering, software engineering, or a related role.
  • Strong expertise inPython for data engineering and automation.
  • Hands-on experience with Apache Airflow for orchestration.
  • Proficiency with AWS Lambda and serverless design patterns.
  • Solid experience with DynamoDB (schema design, performance tuning, scaling).
  • Strong knowledge of dbt for transformation and analytics modeling.
  • Experience with cloud environments (AWS preferred).
  • Familiarity with CI/CD workflows, Git, and DevOps practices.
  • Strong problem-solving and communication skills.

Preferred Qualifications

  • Experience with other AWS services (S3, Glue, Redshift, Kinesis).
  • Familiarity with data warehouse and data lake architectures.
  • Exposure to real-time streaming and event-driven data pipelines.
  • Knowledge of containerization (Docker, Kubernetes).

Soft Skills

  • Exceptional attention to detail and organizational skills.
  • Strong written and verbal communication skills, with the ability to explain complex metadata systems to non-technical users.
  • Ability to work collaboratively and cross-functionally with creative, marketing, and IT teams.
  • Proactive problem-solver who can identify issues and suggest improvements.
  • Time management skills with the ability to prioritize and manage multiple tasks in a fast-paced environment.

Our hybrid work model:

RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like.

RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com. A reasonable estimate of the salary for this role, at the time of posting, is $110,000 - $120,000. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.

Chicago: $110,000 - $120,000


Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.


Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.


Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice


For US Job Seekers:


It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.