ZipRecruiter

Log In

1

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

Co-Sourcing Partners

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

GCP Data Engineer Duration: 6 months Contract to hire Location: Chicago is the preferred location ... Implement data transformation pipelines using BigQuery, dbt, and Python-based workflows. * Ensure ...

Aldridge Electric, Inc.

Data Engineer

Libertyville, IL · On-site

$75K - $105K/yr

The Data Engineer builds, maintains, and continuously improves the pipelines and dbt projects that move data from our source systems into our cloud data platform, helping ensure clean, reliable data ...

Aldridge Electric, Inc.

Data Engineer

Libertyville, IL · On-site

$111K - $133K/yr

The Data Engineer builds, maintains, and continuously improves the pipelines and dbt projects that move data from our source systems into our cloud data platform, helping ensure clean, reliable data ...

The Hartford

Data Engineer

Chicago, IL

$118K - $141K/yr

Familiarity with dbt, Spark, Hadoop, or other modern data engineering technologies. * Experience working in Agile development environments. * Exposure to Generative AI technologies, Agentic AI ...

Omnicom

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 ... The ideal candidate is highly skilled in Python, Apache Airflow, AWS Lambda, DynamoDB, and dbt, and ...

Magid Glove & Safety

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 ...

New

NinjaTrader

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 ...

Independence Pet Group

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Implement modern data solutions using tools like dbt, Databricks, ELT frameworks, and other cloud ... and engineering excellence. Qualifications: * 6+ years building and scaling cloud-based data ...

Above Lending

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 ...

Above Lending

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 ...

Above Lending

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 ...

Cresset Capital

ASSOCIATE, DATA ENGINEER

Chicago, IL · On-site

$85K - $110K/yr

... data engineering for cross-functional business processes involving multiple IT systems. * ... Experience with Matillion, DBT, Databricks, and AWS * Ability to code in Python or another ...

Cresset Capital

ASSOCIATE, DATA ENGINEER

Chicago, IL

$16.50 - $21.50/hr

... data engineering for cross-functional business processes involving multiple IT systems. * ... Experience with Matillion, DBT, Databricks, and AWS * Ability to code in Python or another ...

The Aspen Group

Manager, Data Engineering

Chicago, IL

$160K - $190K/yr

Set standards for data modeling, integration, and platform architecture across dbt, Airflow/Cloud ... GCP Professional Data Engineer Certification a plus. * 7+ years of Data Engineering experience with ...

next page

Showing results 1-20

All JobsDbt Data Engineer JobsDbt Data Engineer Jobs in Addison, IL

Dbt Data Engineer information

See Addison, IL salary details

$44.6K

$130K

$177.8K

How much do dbt data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for dbt data engineer in Addison, IL is $129,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,700.00 and $137,800.00 per year, depending on experience, location, and employer.

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.

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 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.

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 Addison, IL? For Dbt Data Engineer jobs in Addison, IL, the most frequently searched job titles are:
What job categories do people searching Dbt Data Engineer jobs in Addison, IL look for? The top searched job categories for Dbt Data Engineer jobs in Addison, IL are:
What cities near Addison, IL are hiring for Dbt Data Engineer jobs? Cities near Addison, IL with the most Dbt Data Engineer job openings:
Dbt Data Engineer jobs near you

GCP Data Engineer

Co-Sourcing Partners

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Re-posted 7 days ago

Job description

Job Title: GCP Data Engineer
Duration: 6 months Contract to hire
Location: Chicago is the preferred location, but open to candidates from anywhere in the U.S.
Role Overview
We are seeking a highly skilled GCP Data Engineer to design, develop, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in building robust batch and streaming pipelines, implementing modern data architectures, and enabling reliable, high-quality data platforms for analytics, reporting, and machine learning use cases.
Key Responsibilities
Data Engineering & Pipeline Development
  • Design, build, and optimize scalable batch and real-time (streaming) data pipelines using GCPnative services.
  • Develop and maintain data ingestion frameworks leveraging tools such as Pub/Sub, Dataflow, and Cloud Storage.
  • Implement data transformation pipelines using BigQuery, dbt, and Python-based workflows.
  • Ensure efficient handling of large-scale structured and unstructured datasets. Data Modeling & Architecture
  • Design and implement high-performance data models for cloud-based data lakes, data warehouses, and analytics platforms.
  • Optimize data schemas and partitioning strategies in BigQuery for performance and cost efficiency.
  • Support modern architectures such as medallion (bronze/silver/gold) layers and lakehouse patterns.

Development & Coding
  • Write advanced SQL queries for transformation, validation, and analytics.
  • Develop scalable data processing logic using Python and/or Apache Beam.
  • Build reusable, modular, and maintainable code for data workflows.

Data Quality, Observability & Reliability
  • Implement and maintain data quality checks, validation rules, and anomaly detection frameworks.
  • Enable data observability through monitoring, logging, and alerting mechanisms.
  • Ensure highly reliable data pipelines with fault tolerance and error handling strategies.

ETL/ELT Modernization
  • Support migration and modernization efforts from legacy ETL tools (e.g., Talend) to GCP-native ELT frameworks (dbt).
  • Optimize existing pipelines for performance, scalability, and maintainability in cloud environments.
  • Drive adoption of ELT best practices using BigQuery as the compute engine.

Collaboration & Stakeholder Engagement
  • Collaborate with data architects, business analysts, and machine learning teams to deliver trusted datasets.
  • Translate business requirements into scalable data solutions.
  • Provide technical guidance and support for downstream analytics and reporting use cases.

Best Practices & Governance
  • Drive adoption of best practices in cloud data engineering, CI/CD, and DevOps.
  • Implement secure data access controls using IAM roles, policies, and governance frameworks.
  • Follow standards for code quality, version control (Git), and automated deployments.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 4+ years of experience in data engineering or data platform development.
  • Hands-on experience with Google Cloud Platform (GCP) services:
  • BigQuery
  • Dataflow
  • Pub/Sub
  • Cloud Storage
  • Strong proficiency in SQL and Python.
  • Experience with dbt (Data Build Tool) or similar ELT frameworks.
  • Experience building batch and streaming data pipelines.

Preferred Skills
  • Experience with Apache Beam or Spark.
  • Familiarity with Talend or other ETL tools and migration to cloud-native solutions.
  • Knowledge of data lakehouse architectures and modern data stack.
  • Experience with CI/CD tools (e.g., GitHub Actions, Cloud Build, Jenkins).
  • Understanding of data security, governance, and compliance standards.
  • Exposure to machine learning data pipelines and feature engineering.

Key Competencies
  • Strong problem-solving and analytical skills
  • Ability to work in cross-functional teams
  • Excellent communication and documentation skills
  • Focus on performance optimization and scalability
  • Attention to data quality and reliability

Apply